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1
Li, X. "Intelligent object-oriented modelling". Thesis, Swansea University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637900.
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Intelligent object-oriented modelling is a technique for organizing heterogeneous knowledge in a uniform way. It is concerned with three aspects of engineering applications: the independence of modelling from simulation, object-oriented paradigm and knowledge-based systems. The thesis investigates these three aspects and addresses their practically usable concepts. A model of engineering modelling is decomposed into a trinity of descriptions: static, dynamic and functional, which are all needed for a complete model presentation. An object-oriented information model is designed using OMT for the purpose of model development along this line. A model development scheme is proposed to formalize the modelling process and a knowledge representation scheme is suggested to classify the modelling process. A co-operation scheme is presented as a unified approach of both these schemes. An application architecture with a multidisciplinary shell on top of an object-oriented kernel is proposed to combine knowledge-based modelling and object-oriented modelling with conventional tools. A prototype system has been implemented in Kappa. The prototype system structure has been considered in the context of both the modelling process and the knowledge functionality. The thesis concludes that intelligent technologies are natural tools for concurrent engineering applications and are not only suited to inductive approaches and qualitative representations but also to deductive methodologies and quantitative descriptions.
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Makriyannis, Elpida. "Intelligent systems for modelling economic policies". Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407455.
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Guillot, Michel 1960. "Process modelling for intelligent machining control". Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13695.
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Theodoridis, Theodoros. "Modelling criminal behaviours for intelligent robot surveillance". Thesis, University of Essex, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537948.
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Janes, Dominik Sebastian. "Intelligent control system for CFD modelling software". Thesis, University of Greenwich, 2003. http://gala.gre.ac.uk/8618/.
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In this thesis we show that it is possible to create an intelligent agent capable of emulating the human ability to control CFD simulations and provide similar benefits in terms of performance, overall reliability and result accuracy. We initially consider the rule-based approach proposed by other researchers. It is argued that heuristic search is better suited to model the techniques used by human experts. The residual graphs are identified as the most important source of heuristic information relevant to the control decisions. Three different graph features are found to be most important and dedicated algorithms are developed for their extraction. A heuristic evaluation function employing the new extraction algorithms is proposed and implemented in the first version of the heuristic control system (ICS 1.0). The analysis of the test results gives rise to the next version of the system (ICS 2.0). ICS 2.0 employs an additional expert system responsible for dynamic pruning of the search space using the rules obtained by statistical analysis of the initial results. Other features include dedicated goal-driven search plans that help reduce the search space even further. The simulation results and overall improvements are compared with non-controlled runs. We present a detailed analysis of a fire case solution obtained with different control techniques. The effect of the automatic control on the accuracy of the results is explained and discussed. Finally, we provide some indications for further research that promise to provide even greater performance gains.
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Devi, Roshni. "Modelling arithmetic strategies". Thesis, Open University, 1991. http://oro.open.ac.uk/56451/.
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This thesis examines children's arithmetic strategies and their relation to the concepts of commutativity and associativity. Two complementary methods were used in this research: empirical studies and computational models. Empirical studies were carried out to identify the strategies children used for solving problems like 3 + 4, and 3 + 4 + 7, and the conceptual knowledge associated with them. Their understanding of subtraction problems where the minuend is less than the subtrahend (e.g. 6-8) was also considered. A study with 105 subjects revealed a variety of strategies and information about children's knowledge of commutativity and associativity. Four levels of performance of commutativity were also identified. A longitudinal study was carried out with 12 children in order to obtain details of children's changes in strategy, and to double check the results obtained in the main study. The strategies observed to be used by children over a 20 month period parallel those found in previous studies, which show a general transition to more efficient methods. However, the longitudinal study revealed that development of such arithmetic strategies is a slow process. Furthermore, the studies indicated that knowledge of commutativity is a prerequisite for associativity. Models of the observed strategies have been implemented in the form of production rules in a computer program called PALM. The process of implementation highlighted features of children's problem solving that had not been 'detected during the studies. In addition to models that describe the space of strategies, a model of learning has been implemented for the transition from procedural knowledge of commutativity to that of associativity. The model is capable of generalizing its inbuilt knowledge, for instance, its ability to solve 2-term arithmetic expressions, to allow it to solve more complex problems, such as 3-term arithmetic expressions. A further model has been constructed for learning arithmetic strategies that are more efficient than those already represented in the program. It learns specific rules by adding conditions for efficient problem solving to its previous general rules.
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Merrick, Kathryn Elizabeth. "Modelling motivation for experience-based attention focus in reinforcement learning". Connect to full text, 2007. http://ses.library.usyd.edu.au/handle/2123/1935.
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Thesis (Ph. D.)--University of Sydney, 2007.Includes graphs, tables. Title from title screen (viewed April 1, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Science. Includes bibliographical references. Also available in print form.
8
Sun, Jie. "Modelling and intelligent control of vehicle climatronic systems". Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1118.
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The modelling and control method of a vehicle climatronic system, based on MATLAB/SIMULINK, is presented. In order to achieve high modelling accuracy, a developed simulation model library is introduced. The modelling approach is described and the developed models are validated with some of experimental data obtained. The models are nonlinear, independent of fluid type and based on thermo-dynamic principles. Analysis of the cooling circuit modelling and empirical real-time control models are created by using Fuzzy logic controller and Stateflow. Both of control input and output are implemented essentially at original vehicle CAN-Bus system. Feasible digital automatic control strategy basic to fuzzy theory, hardware and software solution are given. The simulation experiment is achieved with the Hardware-in-Loop technology. This control methodology is easily operated and worth applying for any further studies or methods.
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Li, Yuefeng, i mikewood@deakin edu au. "Modelling intelligent agents for web-based information gathering". Deakin University. School of Computing and Mathematics, 2000. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051201.151125.
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The recent emergence of intelligent agent technology and advances in information gathering have been the important steps forward in efficiently managing and using the vast amount of information now available on the Web to make informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by end users.
Good decisions cannot be made without sufficient, timely, and correct information. Traditionally it is said that knowledge is power, however, nowadays sufficient, timely, and correct information is power. So gathering relevant information to meet user information needs is the crucial step for making good decisions.
The ideal goal of information gathering is to obtain only the information that users need (no more and no less). However, the volume of information available, diversity formats of information, uncertainties of information, and distributed locations of information (e.g. World Wide Web) hinder the process of gathering the right information to meet the user needs. Specifically, two fundamental issues in regard to efficiency of information gathering are mismatch and overload. The mismatch means some information that meets user needs has not been gathered (or missed out), whereas, the overload means some gathered information is not what users need.
Traditional information retrieval has been developed well in the past twenty years. The introduction of the Web has changed people's perceptions of information retrieval. Usually, the task of information retrieval is considered to have the function of leading the user to those documents that are relevant to his/her information needs. The similar function in information retrieval is to filter out the irrelevant documents (or called information filtering). Research into traditional information retrieval has provided many retrieval models and techniques to represent documents and queries. Nowadays, information is becoming highly distributed, and increasingly difficult to gather. On the other hand, people have found a lot of uncertainties that are contained in the user information needs. These motivate the need for research in agent-based information gathering.
Agent-based information systems arise at this moment. In these kinds of systems, intelligent agents will get commitments from their users and act on the users behalf to gather the required information. They can easily retrieve the relevant information from highly distributed uncertain environments because of their merits of intelligent, autonomy and distribution. The current research for agent-based information gathering systems is divided into single agent gathering systems, and multi-agent gathering systems. In both research areas, there are still open problems to be solved so that agent-based information gathering systems can retrieve the uncertain information more effectively from the highly distributed environments.
The aim of this thesis is to research the theoretical framework for intelligent agents to gather information from the Web. This research integrates the areas of information retrieval and intelligent agents. The specific research areas in this thesis are the development of an information filtering model for single agent systems, and the development of a dynamic belief model for information fusion for multi-agent systems. The research results are also supported by the construction of real information gathering agents (e.g., Job Agent) for the Internet to help users to gather useful information stored in Web sites. In such a framework, information gathering agents have abilities to describe (or learn) the user information needs, and act like users to retrieve, filter, and/or fuse the information.
A rough set based information filtering model is developed to address the problem of overload. The new approach allows users to describe their information needs on user concept spaces rather than on document spaces, and it views a user information need as a rough set over the document space. The rough set decision theory is used to classify new documents into three regions: positive region, boundary region, and negative region. Two experiments are presented to verify this model, and it shows that the rough set based model provides an efficient approach to the overload problem.
In this research, a dynamic belief model for information fusion in multi-agent environments is also developed. This model has a polynomial time complexity, and it has been proven that the fusion results are belief (mass) functions. By using this model, a collection fusion algorithm for information gathering agents is presented. The difficult problem for this research is the case where collections may be used by more than one agent. This algorithm, however, uses the technique of cooperation between agents, and provides a solution for this difficult problem in distributed information retrieval systems.
This thesis presents the solutions to the theoretical problems in agent-based information gathering systems, including information filtering models, agent belief modeling, and collection fusions. It also presents solutions to some of the technical problems in agent-based information systems, such as document classification, the architecture for agent-based information gathering systems, and the decision in multiple agent environments. Such kinds of information gathering agents will gather relevant information from highly distributed uncertain environments.
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Filipe, Joaquim Belo Lopes. "Normative organisational modelling using intelligent multi-agent systems". Thesis, Staffordshire University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327505.
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Kochenderfer, Mykel J. "Adaptive modelling and planning for learning intelligent behaviour". Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/1408.
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An intelligent agent must be capable of using its past experience to develop an understanding of how its actions affect the world in which it is situated. Given some objective, the agent must be able to effectively use its understanding of the world to produce a plan that is robust to the uncertainty present in the world. This thesis presents a novel computational framework called the Adaptive Modelling and Planning System (AMPS) that aims to meet these requirements for intelligence. The challenge of the agent is to use its experience in the world to generate a model. In problems with large state and action spaces, the agent can generalise from limited experience by grouping together similar states and actions, effectively partitioning the state and action spaces into finite sets of regions. This process is called abstraction. Several different abstraction approaches have been proposed in the literature, but the existing algorithms have many limitations. They generally only increase resolution, require a large amount of data before changing the abstraction, do not generalise over actions, and are computationally expensive. AMPS aims to solve these problems using a new kind of approach. AMPS splits and merges existing regions in its abstraction according to a set of heuristics. The system introduces splits using a mechanism related to supervised learning and is defined in a general way, allowing AMPS to leverage a wide variety of representations. The system merges existing regions when an analysis of the current plan indicates that doing so could be useful. Because several different regions may require revision at any given time, AMPS prioritises revision to best utilise whatever computational resources are available. Changes in the abstraction lead to changes in the model, requiring changes to the plan. AMPS prioritises the planning process, and when the agent has time, it replans in high-priority regions. This thesis demonstrates the flexibility and strength of this approach in learning intelligent behaviour from limited experience.
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Zain, Mohd Zarhamdy Md. "Modelling and intelligent control of flexible-link manipulators". Thesis, University of Sheffield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425486.
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Backory, Jay K. "Intelligent monitoring, modelling and decision support in anaesthesia". Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301427.
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Rajbhandari, Bidur. "Modelling intelligent transport systems applications for public transport". Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246885.
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Jaber, Tareq Ibrahem. "Lexical noise modelling and removal in intelligent information retrieval". Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492009.
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Syed, Shazali Syed Tarmizi. "Human behaviour modelling through Human Intelligent Movement Software (HIMs)". Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6382.
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The concept of sustainable urban environments aims to provide urban facilities including transport interchanges that can accommodate a wide spectrum of the human population irrespective of gender, age or disability. A major objective is to reduce levels of social exclusion which arise from inadequacy in infrastructure that strongly affects certain members of society such as the elderly, disabled and poor. This research focuses on the particular aspect of crowded public spaces where it is envisaged that improvements in crowd flow could be achieved by a proper consideration of all the users of the space but particularly the elderly and disabled. The ultimate objective would be design tools that provide architects with the means to achieve inclusivity in design for the elderly and disabled with relative ease and speed. Therefore, this research has developed a methodology and a computing tool to implement aspects of human walking behaviour in public spaces. Human behaviours have been studied using a large-scale video observation involving over 17,000 subjects. The videos have been analysed to determine a number of different behaviours and their relationship to distinguishing characteristics of the subjects such as age, gender and disability. Algorithms for representing these behaviours have been developed and implemented as a simulation tool (HIMs) within commercially available gaming software. Two case studies, within shopping malls and a bus station, have been carried out to illustrate the feasibility of the work and simple examples of small environmental design changes that significantly affect crowd flow are shown.
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Allam, Hossam. "Modelling learning behaviour of intelligent agents using UML 2.0". Thesis, University of Plymouth, 2005. http://hdl.handle.net/10026.1/338.
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This thesis aims to explore and demonstrate the ability of the new standard of structural and behavioural components in Unified Modelling Language (UML 2.0 / 2004) to model the learning behaviour of Intelligent Agents. The thesis adopts the research direction that views agent-oriented systems as an extension to object-oriented systems. In view of the fact that UML has been the de facto standard for modelling object-oriented systems, this thesis concentrates on exploring such modelling potential with Intelligent Agent-oriented systems. Intelligent Agents are Agents that have the capability to learn and reach agreement with other Agents or users. The research focuses on modelling the learning behaviour of a single Intelligent Agent, as it is the core of multi-agent systems. During the writing of the thesis, the only work done to use UML 2.0 to model structural components of Agents was from the Foundation for Intelligent Physical Agent (FIPA). The research builds upon, explores, and utilises this work and provides further development to model the structural components of learning behaviour of Intelligent Agents. The research also shows the ability of UML version 2.0 behaviour diagrams, namely activity diagrams and sequence diagrams, to model the learning behaviour of Intelligent Agents that use learning from observation and discovery as well as learning from examples of strategies. The research also evaluates if UML 2.0 state machine diagrams can model specific reinforcement learning algorithms, namely dynamic programming, Monte Carlo, and temporal difference algorithms. The thesis includes user guides of UML 2.0 activity, sequence, and state machine diagrams to allow researchers in agent-oriented systems to use the UML 2.0 diagrams in modelling the learning components of Intelligent Agents. The capacity for learning is a crucial feature of Intelligent Agents. The research identifies different learning components required to model the learning behaviour of Intelligent Agents such as learning goals, learning strategies, and learning feedback methods. In recent years, the Agent-oriented research has been geared towards the agency dimension of Intelligent Agents. Thus, there is a need to conduct more research on the intelligence dimension of Intelligent Agents, such as negotiation and argumentation skills. The research shows that behavioural components of UML 2.0 are capable of modelling the learning behaviour of Intelligent Agents while structural components of UML 2.0 need extension to cover structural requirements of Agents and Intelligent Agents. UML 2.0 has an extension mechanism to fulfil Agents and Intelligent Agents for such requirements. This thesis will lead to increasing interest in the intelligence dimension rather than the agency dimension of Intelligent Agents, and pave the way for objectoriented methodologies to shift more easily to paradigms of Intelligent Agent-oriented systems.
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Pessu, Ruth A. "Intelligent modelling and control of a flexible link manipulator". Thesis, University of Wolverhampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307841.
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Fourli-Kartsouni, Florendia. "Intelligent workflow support for context sensitive business process modelling". Saarbrücken VDM Verlag Dr. Müller, 2004. http://d-nb.info/99121773X/04.
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Tzanavari, Aimilia. "User modeling for intelligent human-computer interaction". Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364961.
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Radford, Darren Lee James. "Fusion-based impairment modelling for an intelligent radar sensor architecture". Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/54820/.
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An intelligent radar sensor concept has been developed using a modelling approach for prediction of sensor performance, based on application of sensor and environment models. Land clutter significantly impacts on the operation of radar sensors operating at low-grazing angles. The clutter modelling technique developed in this thesis for the prediction of land clutter forms the clutter model for the intelligent radar sensor. Fusion of remote sensing data is integral to the clutter modelling approach and is addressed by considering fusion of radar remote sensing data, and mitigation of speckle noise and data transmission impairments. The advantages of the intelligent sensor approach for predicting radar performance are demonstrated for several applications using measured data. The problem of predicting site-specific land radar performance is an important task which is complicated by the peculiarities and characteristics of the radar sensor, electromagnetic wave propagation, and the environment in which the radar is deployed. Airborne remote sensing data can provide information about the environment and terrain, which can be used to more accurately predict land radar performance. This thesis investigates how fusion of remote sensing data can be used in conjunction with a sensor modelling approach to enable site-specific prediction of land radar performance. The application of a radar sensor model and a priori information about the environment, gives rise to the notion of an intelligent radar sensor which can adapt to dynamically changing environments through intelligent processing of this a priori knowledge. This thesis advances the field of intelligent radar sensor design, through an approach based on fusion of a priori knowledge provided by remote sensing data, and application of a modelling approach to enable prediction of radar sensor performance. Original contributions are made in the areas of intelligent radar sensor development, improved estimation of land surface clutter intensity for site-specific low-grazing angle radar, and fusion and mitigation of sensor and data transmission impairments in radar remote sensing data.
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Martin, Brent I. "Intelligent tutoring systems: The practical implementation of constraint-based modelling". Thesis, University of Canterbury. Computer Science, 2002. http://hdl.handle.net/10092/4834.
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An Intelligent Tutoring System (ITS) differs from other educational systems because it uses knowledge to guide the pedagogical process. It attempts to optimise the student's mastery of domain knowledge by controlling the introduction of new problems, concepts and instruction/feedback. Central to this process is the student model, which provides information about what the student knows. The state of the art in student modelling is model tracing, which compares student actions against an "ideal" procedure.Constraint-based modelling is a new domain and student modelling method that
describes only pedagogically informative states, rather than following the procedure
the student used to arrive at their answer. Ohlsson introduced the idea, which is based
on learning from performance errors, but did not provide details of how it should be
implemented. Even his definition of constraints is very broad. SQL-Tutor is an
existing ITS that uses a constraint-based model. The representation of constraints
within this system is as loose as Ohlsson's description. The constraints in SQL-Tutor
are LISP code fragments, where domain structural knowledge is incorporated into the
constraints via ad hoc functions.
In this thesis we present a more specific representation for constraints that
obviates the need for complex user-defined functions. Constraints (and their
associated taxonomies and domain-specific functions) are specified as pattern
matches. This new approach has two advantages: the constraints are simpler to author,
and they can be used to generate solutions on demand. We have used the new
representation to create algorithms for solving problems and correcting student
mistakes, and for generating novel problems to present to the student. We present the
details of these algorithms and the results of both laboratory and classroom
evaluations. The solution generation algorithm is demonstrated in laboratory testing to
be practical, and the problem generation algorithm, together with a new problem
selection method, exhibits improved learning performance in the classroom.
We also present the design and implementation of an authoring system for
constraint-based tutors and demonstrate its efficacy in authoring tutors for two
domains. One of these, a tutor for English language skills, was evaluated in an
elementary school classroom. This evaluation was a success. The students enjoyed
using the tutor, found the interface easy to use, and felt that they had learned a lot. An
analysis of their mastery of the constraints suggested that they did indeed learn the
underlying principles in the course of the session. The authoring tool enabled us to
develop this system quickly using a spelling resource book as the source of both the
domain taxonomy from which to produce the problems (i.e. a vocabulary of words to
use) and the principles for the constraints. The authoring tool provided all other
functions. This evaluation therefore showed that our authoring tool allows the rapid
creation of an effective ITS.
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Feraday, Simon Andrew. "Intelligent approaches to modelling and interpreting disc brake squeal data". Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342809.
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Ghemri, Lila. "Cognitive modelling in an intelligent tutoring system for second language". Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386345.
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Kamma, Aditya. "An Approach to Language Modelling for Intelligent Document Retrieval System". Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14096.
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Clark, Graham Adrian. "An intelligent modelling interface for process simulators in process industries". Thesis, Loughborough University, 2001. https://dspace.lboro.ac.uk/2134/7562.
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Over the past three decades, modelling packages for chemical processes have become more advanced and widely used. For example, equation-oriented dynamic simulators, such as gPROMS are useful for simulating plantwide processes as well as unit operations, and are widely used by process engineers. Whereas, other types of simulator (e.g. Simulink) are often used by control engineers to solve complex control problems. However, both these types of simulator rely on the user being proficient in modelling and familiar with their syntax beforehand. A useful development would be the integration of some knowledge into the formation of the process models and automatic syntax code generation. This would lead to the design engineers having a library of knowledge to check on first, much as an expert engineer uses their past experiences to help guide them through a design. If this could be incorporated into a modelling interface this would greatly help the design engineer, especially when tackling problems in areas that they have little, or no experience. The thesis addresses this problem and describes the design of an intelligent modelling interface that incorporates a knowledge base using some form of a priori case library and recall facility. The interface also incorporates an automatic input file generation stage. At present, the user can: specify a single unit operation problem to search for, retrieve similar cases from the database, specify their solution in the database based on past cases and experience, and then automatically generate an input file for either gPROMS or Simulink. These features are demonstrated through four case studies.
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Pluchinotta, Irene. "Multi-Agent Modelling for Distributed Intelligent Decision in Water Management". Thesis, Paris 9, 2015. http://www.theses.fr/2015PA090006.
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La gestion de l'eau peut être un domaine complexe, incertain et conflictuel. Dans différentes régions du monde il se confronte à de nombreux problèmes, tel que la disparité des intérêts liés à la ressource de l’eau, plusieurs décideurs, des réseaux administratives complexes, la distribution d'eau inefficace, divers événements socio-politiques et le changement climatique. Par conséquent, la prise de décision a lieu dans un système fortement interconnecté, dans lequel ni les ramifications décisionnels ni la complexité de ses impacts peuvent être négligés. Dans la région des Pouilles, la rareté de l'eau est le principal problème croissant qui touche les communautés humaines et plus qu’humaines.La pénurie d'eau génère la nécessité d'améliorer les processus décisionnels collaboratifs avec agents multiples. Les chercheurs suggèrent que la «tragédie des communs» pourrait être évitée si une ressource partagée était gérée de manière collective. Cela nécessite le développement d'outils dynamiques d’aide à la décision. Ceux-ci devraient être capables d'intégrer les différents cadres de problèmes détenues par les décideurs, de clarifier les différences entre les cadres, de soutenir la création d'un processus collaboratif pour la structuration d’un problème et de fournir des plates-formes communes et des espaces d'interaction.À cet égard, nous avons construit un espace d'interaction dynamique (DIS), mettant en évidence les points critiques opératoires et permettant aux analystes d'identifier une définition commune du problème. Les nouveaux défis de la collecte et de l'échange de connaissances et de la représentation des concepts structurés peuvent être résolus par une approche combinée. Les systèmes multi-agents joints aux systèmes dynamiques pourraient fournir des alternatives non conventionnelles qui utilisent des composants physiques et sociales, avec une attention particulière sur les comportements individuels et collectifs dans la gestion des ressources avec plusieurs décideurs.Dans notre étude de cas, le modèle a été utilisé comme une plate-forme pour la modélisation des organisations multi-agents, afin de soutenir la prise de décision collective dans la gestion de l'eau. Le modèle est capable de représenter un système de gestion de l'eau distribuée complexe, où les comportements simulés sont basées sur des observations sur le terrain et sur la participation des parties prenantes. De plus, l'approche de système multi-agents permet l'interaction et la formalisation des comportements des usagers de l'eau dans le processus de gestion. Une modélisation type systèmes dynamiques dans un environnement d'interaction entre agents de décision, nous permet d’intégrer explicitement les différents cadres et de simuler les interactions lors de l'adoption d'une nouvelle politique. Le modèle peut montrer comment la compréhension limitée de l'espace d'interaction affecte les actions suivies par chacun des décideurs et, enfin, comment elle pourrait conduire à des mécanismes de résistance systémique. En conclusion, le résultat est l’image la plus riche possible de la situation du problème existant, qui traite de la gestion de l'eau d'irrigation dans les systèmes agricolesWater resource management can be a complex, uncertain and conflictual domain. It faces numerous problems in many regions of the world, such as the disparity of interests associated with the water resource, multiple decision makers, complex networks of administration, inoperative water distribution, various socio-political events and climate change. Consequently, environmental decision-making takes place in a highly interconnected system, in which neither the decisional ramifications nor the complexity of its impacts can be neglected. In the Apulia Region, water scarcity is the main rising problem and is affecting human and more-than-human communities.Water scarcity generates the need to enhance collaborative multi-agent decision-making processes. Researchers suggest that the “tragedy of commons” could be avoided when a shared resource is at stake, provided that communities interact and operate in a collective way and avoid, for example, the market rules constraints. This requires the development of dynamic decision-aiding tools. They should be capable to integrate the different problem frames held by the decision makers, to clarify the differences among those frames, to support the creation of a collaborative problem structuring process and to provide shared platforms and interaction spaces.In this regard, we built a dynamic interaction space (DIS), highlighting the operative criticalities and allowing the analysts to identify a shared problem definition. The emerging issues of gathering and exchanging knowledge and representing structured concepts can be solved through a combined approach. Multi-agent systems joined with system dynamics can provide unconventional alternatives that use physical and social components, with a particular focus on individual and collective behaviours in resource management with multiple decision makers.In our case study, the model was used as a platform for modelling multi-agent organizations, in order to support collective decision-making in water management. The model is capable of representing a distributed complex water management system, where simulated behaviours are based on field observations and on the participation of stakeholders. What is more, the multi–agent system approach enables the interaction and allows to formalize theIrene Pluchinotta – “Multi-Agent Modelling For Distributed Intelligent Decision In Water Management”iibehaviours of water users in the management process. A system dynamics modelling in an environment of interacting decision agents, allows us to explicitly consider the different frames and to simulate interactions when adopting a new policy. The model can showcase how the limited understanding of the interaction space affects the actions followed by each decision-makers and, finally, how it could lead to policy resistance mechanisms. In conclusion, the result is the richest possible picture of the existing problem situation that deals with irrigation water management in agricultural systems
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el, Sayed Mewafy Sherif. "Investigation into the creation of an ambient intelligent physiology measurement environment to facilitate modelling of the human wellbeing". Thesis, University of South Wales, 2014. https://pure.southwales.ac.uk/en/studentthesis/investigation-into-the-creation-of-an-ambient-intelligent-physiology-measurement-environment-to-facilitate-modelling-of-the-human-wellbeing(27f3cf96-357d-49fa-a19f-cf60e9ae0347).html.
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The elderly population worldwide has an increasing expectation of wellbeing and life expectancy. The monitoring of the majority of elderly people on an individual basis, in a medical sense, will not be a viable proposition in the future due to the projected numbers of individuals requiring such activity. The expectation is that the infrastructure available will not be adequate to meet all the anticipated requirements and subsequently people will have to live at home with inadequate care. A new global objective that aims towards enhancing the quality of life of the elderly is being supported by extensive research. This research has been taking place in the field of ambient intelligence (AmI), considering factors including more comfort, improved health, enhanced security for the elderly, and facilitating the living in their homes longer. Prior research has shown a need for accelerated expansion in the ambient intelligence domain. To that end this work presents a novel learning technique for intelligent agents that can be used in Ambient Intelligent Environments (AIEs). The main objective of this work is to add knowledge to the AmI domain and to explore the practical applications within this research field. The added knowledge is accomplished through the development of an ambient intelligent health care environment that allows a practical assessment of the human well-being to take place. This is achieved by transforming the elderly living environment into an intelligent pseudo robot within which they reside to better understand the human wellbeing. The system developed aims to provide evidence that a level of automated care is both possible and practical. This care is for those with chronic physical or mental disabilities who have difficulty in their interactions with standardised living spaces. The novel integrated hardware and software architecture provides personalised environmental monitoring. It also provides control facilities based on the patient‘s physical and emotional wellness in their home. Entitled Health Adaptive Online Emotion Fuzzy Agent (HAOEFA), the system provides a non-invasive, self-learning, intelligent controlling system that constantly adapts to the requirements of an individual. The system has the ability to model and learn the user behaviour in order to control the environment on their behalf. This is achieved with respect to the changing environmental conditions as well as the user‘s health and emotional states being detected. A change of emotion can have a direct impact on the system‘s control taking place in the environment. Thus HAOEFA combines an emotion recognition system within a fuzzy logic learning and adaptation based controller. The emotion recogniser detects the occupant‘s emotions upon the changes of the physiological data being monitored. In addition to acting as an output to the occupant‘s physiological changes, the detected emotion also acts as input to the whole situation being observed by HAOEFA. This allows HAOEFA to control the Glam i-HomeCare on the user‘s behalf with respect to their emotional status. The system developed incorporates real-time, continuous adaptations to facilitate any changes to the occupant‘s behaviour within the environment. It also allows the rules to be adapted and extended online, assisting a life-long learning technique as the environmental conditions change and the user behaviour adjusts with it. HAOEFA uses the fuzzy c-means clustering methodology for extracting membership functions (MFs) before building its set of fuzzy rules. These MFs together with the rules base constitute a major part of the proposed system. It has the ability to learn and model the individual human behaviour with respect to their emotional status. Following the provided literature review and the presentation of Fuzzy logic MFs (see section 3.3). The thesis presents two chosen unobtrusive self-learning techniques that are used in the development of the intelligent fuzzy system. Each approach combines an emotion recogniser with a fuzzy logic learning and adaptation based technique for systems that can be used in AIEs. A comparison of two different MFs designs is contrasted showing the impact they have on the system learning ability. A number of carefully designed experiments were performed by volunteers in the Glam i-HomeCare test-bed at the University of South Wales to examine the system‘s ability to learn the occupant‘s behaviour with respect to their health and emotional states. The experimental procedures were performed twice by each volunteer, while maintaining the same behavioural actions to compare how much the design of fuzzy membership functions can impact the learning process and the number of rules created by the system. Besides evaluating both systems‘ emotion recognition accuracies and comparing them to one another for each occupant, the empirical outcomes show the potential of the approach in assisting the extension of independent living. The results demonstrate how the type-1 fuzzy system both learnt and adapted to each occupant‘s behaviour with respect to their health and emotional state whilst assessing multiple environmental conditions.
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Cottman, Nicholas James. "Modelling the impacts of intelligent transport systems using microscopic traffic simulation /". [St. Lucia. Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17339.pdf.
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Aramrattana, Maytheewat. "Modelling and Simulation for Evaluation of Cooperative Intelligent Transport System Functions". Licentiate thesis, Högskolan i Halmstad, Centrum för forskning om inbyggda system (CERES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:vti:diva-12683.
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Future vehicles are expected to be equipped with wireless communication technology, that enables them to be “connected” to each others and road infrastructures. Complementing current autonomous vehicles and automated driving systems, the wireless communication allows the vehicles to interact, cooperate, and be aware of its surroundings beyond their own sensors’ range. Such sys- tems are often referred to as Cooperative Intelligent Transport Systems (C-ITS), which aims to provide extra safety, efficiency, and sustainability to transporta- tion systems. Several C-ITS applications are under development and will require thorough testing and evaluation before their deployment in the real-world. C- ITS depend on several sub-systems, which increase their complexity, and makes them difficult to evaluate. Simulations are often used to evaluate many different automotive applications, including C-ITS. Although they have been used extensively, simulation tools dedicated to determine all aspects of C-ITS are rare, especially human factors aspects, which are often ignored. The majority of the simulation tools for C-ITS rely heavily on different combinations of network and traffic simulators. The human factors issues have been covered in only a few C-ITS simulation tools, that involve a driving simulator. Therefore, in this thesis, a C-ITS simulation framework that combines driving, network, and traffic simulators is presented. The simulation framework is able to evaluate C-ITS applications from three perspectives; a) human driver; b) wireless communication; and c) traffic systems. Cooperative Adaptive Cruise Control (CACC) and its applications are chosen as the first set of C-ITS functions to be evaluated. Example scenarios from CACC and platoon merging applications are presented, and used as test cases for the simulation framework, as well as to elaborate potential usages of it. Moreover, approaches, results, and challenges from composing the simulation framework are presented and discussed. The results shows the usefulness of the proposed simulation framework.
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Tan, Leong Ping. "Dynamic modelling and intelligent control of a single screw extrusion process". Thesis, Nottingham Trent University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410528.
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Georgakis, Panagiotis. "Methodology for the design and modelling of integrated intelligent transportation systems". Thesis, University of Wolverhampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403254.
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Chen, Ho-Hsien. "Bond graphs and qualitative reasoning for intelligent systems modelling and control". Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387542.
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Alhnaity, Bashar. "Financial engineering modelling using computational intelligent techniques : financial time series prediction". Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/13652.
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Prediction of financial time series is described as one of the most challenging tasks of time series prediction, due to its characteristics and dynamic nature. In any investment activity, having an accurate prediction system will significantly benefit investors by guiding decision making, especially in trading, asset management and risk management. Thus, the attempts to build such systems have attracted the attention of practitioners in the market and also researchers for many decades. Furthermore, the purpose of this thesis is to investigate and develop a new approach to predicting financial time series with consideration given to their dynamic nature. In this thesis, the prediction procedures will be carried out in three phases. The first phase proposes a new hybrid dynamic model based on Ensemble Empirical Mode Decomposition (EEMD), Back Propagation Neural Network (BPNN), Recurrent Neural Network (RNN), Support Vector Regression (SVR) and EEMD-Genetic Algorithm (GA)-Weighted Average (WA) to predict stock index closing price. EEMD in this phase is introduced as a preprocessing step to historical observation for the first time in the literature. The experimental results show that the EEMDD-GA-WA model performance is a notch above the other methods utilised in this phase. The second phase proposes a new hybrid static model based on Wavelet Transform (WT), RNN, Support Vector Machine (SVM), Nave Bayes and WT-GA-WA to predict the exact change of the stock index closing price. In this phase, the experimental results showed that the proposed WT-GA-WA model outperformed the rest of the models utilised in this phase. Moreover, the input data that are fed into the hybrid model in this phase are technical indicators. The third phase in this research introduces a new Hybrid Heuristic-Rules-based System (HHRS) for stock price prediction. This phase intends to combine the output of the hybrid models in phase one and two in order to enhance the final prediction results. Thus,to the best of our knowledge, this study is the only one to have carried out and tested this approach with a real data set. The results show that the HHRS outperformed all suggested models over all the data sets. Thus, this indicates that combining di↵erent techniques with diverse types of information could enhance prediction accuracy.
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Shehab, Esam. "An intelligent knowledge based cost modelling system for innovative product development". Thesis, De Montfort University, 2001. http://hdl.handle.net/2086/11605.
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This research work aims to develop an intelligent knowledge-based system for product cost modelling and design for automation at an early design stage of the product development cycle, that would enable designers/manufacturing planners to make more accurate estimates of the product cost. Consequently, a quicker response to customers’ expectations. The main objectives of the research are to: (1) develop a prototype system that assists an inexperienced designer to estimate the manufacturing cost of the product, (2) advise designers on how to eliminate design and manufacturing related conflicts that may arise during the product development process, (3) recommend the most economic assembly technique for the product in order to consider this technique during the design process and provide design improvement suggestions to simplify the assembly operations (i.e. to provide an opportunity for designers to design for assembly (DFA)), (4) apply a fuzzy logic approach to certain cases, and (5) evaluate the developed prototype system through five case studies. The developed system for cost modelling comprises of a CAD solid modelling system, a material selection module, knowledge-based system (KBS), process optimisation module, design for assembly module, cost estimation technique module, and a user interface. In addition, the system encompasses two types of databases, permanent (static) and temporary (dynamic). These databases are categorised into five separate groups of database, Feature database, Material database, Machinability database, Machine database, and Mould database. The system development process has passed through four major steps: firstly, constructing the knowledge-based and process optimisation system, secondly developing a design for assembly module. Thirdly, integrating the KBS with both material selection database and a CAD system. Finally, developing and implementing a ii fuzzy logic approach to generate reliable estimation of cost and to handle the uncertainty in cost estimation model that cannot be addressed by traditional analytical methods. The developed system has, besides estimating the total cost of a product, the capability to: (1) select a material as well as the machining processes, their sequence and machining parameters based on a set of design and production parameters that the user provides to the system, and (2) recommend the most economic assembly technique for a product and provide design improvement suggestion, in the early stages of the design process, based on a design feasibility technique. It provides recommendations when a design cannot be manufactured with the available manufacturing resources and capabilities. In addition, a feature-by-feature cost estimation report was generated using the system to highlight the features of high manufacturing cost. The system can be applied without the need for detailed design information, so that it can be implemented at an early design stage and consequently cost redesign, and longer lead-time can be avoided. One of the tangible advantages of this system is that it warns users of features that are costly and difficult to manufacture. In addition, the system is developed in such a way that, users can modify the product design at any stage of the design processes. This research dealt with cost modelling of both machined components and injection moulded components. The developed cost effective design environment was evaluated on real products, including a scientific calculator, a telephone handset, and two machined components. Conclusions drawn from the system indicated that the developed prototype system could help companies reducing product cost and lead time by estimating the total product cost throughout the entire product development cycle including assembly cost. Case studies demonstrated that designing a product using the developed system is more cost effective than using traditional systems. The cost estimated for a number of products used in the case studies was almost 10 to 15% less than cost estimated by the traditional system since the latter does not take into consideration process optimisation, design alternatives, nor design for assembly issues.
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Garibaldi, Jonathan Mark. "Intelligent techniques for handling uncertainty in the assessment of neonatal outcome". Thesis, University of Plymouth, 1997. http://hdl.handle.net/10026.1/1900.
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Objective assessment of the neonatal outcome of labour is important, but it is a difficult and challenging problem. It is an invaluable source of information which can be used to provide feedback to clinicians, to audit a unit's overall performance, and can guide subsequent neonatal care. Current methods are inadequate as they fail to distinguish damage that occurred during labour from damage that occurred before or after labour. Analysis of the chemical acid-base status of blood taken from the umbilical cord of an infant immediately after delivery provides information on any damage suffered by the infant due to lack of oxygen during labour. However, this process is complex and error prone, and requires expertise which is not always available on labour wards. A model of clinical expertise required for the accurate interpretation of umbilical acid-base status was developed, and encapsulated in a rule-based expert system. This expert system checks results to ensure their consistency, identifies whether the results come from arterial or venous vessels, and then produces an interpretation of their meaning. This 'crisp' expert system was validated, verified and commercially released, and has since been installed at twenty two hospitals all around the United Kingdom. The assessment of umbilical acid-base status is characterised by uncertainty in both the basic data and the knowledge required for its interpretation. Fuzzy logic provides a technique for representing both these forms of uncertainty in a single framework. A 'preliminary' fuzzy-logic based expert system to interpret error-free results was developed, based on the knowledge embedded in the crisp expert system. Its performance was compared against clinicians in a validation test, but initially its performance was found to be poor in comparison with the clinicians and inferior to the crisp expert system. An automatic tuning algorithm was developed to modify the behaviour of the fuzzy model utilised in the expert system. Sub-normal membership functions were used to weight terms in the fuzzy expert system in a novel manner. This resulted in an improvement in the performance of the fuzzy expert system to a level comparable to the clinicians, and superior to the crisp expert system. Experimental work was carried out to evaluate the imprecision in umbilical cord acid-base parameters. This information, in conjunction with fresh knowledge elicitation sessions, allowed the creation of a more comprehensive fuzzy expert system, to validate and interpret all acid-base data. This 'integrated' fuzzy expert system was tuned using the comparison data obtained previously, and incorporated vessel identification rules and interpretation rules, with numeric and linguistic outputs for each. The performance of each of the outputs was evaluated in a rigorous validation study. This demonstrated excellent agreement with the experts for the numeric outputs, and agreement on a par with the experts for the linguistic outputs. The numeric interpretation produced by the fuzzy expert system is a novel single dimensional measure that accurately represents the severity of acid-base results. The development of the crisp and fuzzy expert systems represents a major achievement and constitutes a significant contribution to the assessment of neonatal outcome.
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Woodroffe, M. R. "Plan recognition and student modelling in the UNIX domain". Thesis, University of Essex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237675.
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Evertsz, Rick. "The role of the crucial experiment in student modelling". Thesis, Open University, 1990. http://oro.open.ac.uk/56448/.
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As the range of models which tutoring systems can capture is extended, efficient diagnosis becomes more difficult. This thesis describes a solution to this problem based on the generation of 'Critical Problems'; their role in student modelling is analogous to that of the 'Crucial Experiment' in science. We argue that great diagnostic power can be obtained by generating discriminatory problem examples. In general, efficient diagnosis is just not possible without such an hypothesis-testing capability. We describe a program, PO, which given a pair of production rule models and a description of the class of problems which the student must solve, generates an abstract specification of the problems which discriminate between those two hypotheses. Through a process termed 'Abstract Interpretation', PO tips the balance in favour of diagnostic measurement. The key to this problem lies in the realisation that we are only interested in the abstract mapping between a model's inputs and outputs; from the point of view of generating a Critical Problem, the intermediate processing of the model is irrelevant.
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Rogers, Paul. "Object-oriented modelling of flexible manufacturing cells". Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276540.
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Suraweera, Pramuditha. "Widening the Knowledge Acquisition Bottleneck for Intelligent Tutoring Systems". Thesis, University of Canterbury. Computer Science and Software Engineering, 2007. http://hdl.handle.net/10092/1150.
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Empirical studies have shown that Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing an ITS is a labour-intensive and time-consuming process. A major share of the development effort is devoted to acquiring the domain knowledge that accounts for the intelligence of the system. The goal of this research is to reduce the knowledge acquisition bottleneck and enable domain experts to build the domain model required for an ITS. In pursuit of this goal an authoring system capable of producing a domain model with the assistance of a domain expert was developed. Unlike previous authoring systems, this system (named CAS) has the ability to acquire knowledge for non-procedural as well as procedural tasks. CAS was developed to generate the knowledge required for constraint-based tutoring systems, reducing the effort as well as the amount of expertise in knowledge engineering and programming required. Constraint-based modelling is a student modelling technique that assists in somewhat easing the knowledge acquisition bottleneck due to the abstract representation. CAS expects the domain expert to provide an ontology of the domain, example problems and their solutions. It uses machine learning techniques to reason with the information provided by the domain expert for generating a domain model. A series of evaluation studies of this research produced promising results. The initial evaluation revealed that the task of composing an ontology of the domain assisted with the manual composition of a domain model. The second study showed that CAS was effective in generating constraints for the three vastly different domains of database modelling, data normalisation and fraction addition. The final study demonstrated that CAS was also effective in generating constraints when assisted by novice ITS authors, producing constraint sets that were over 90% complete.
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Graham, James. "Intelligent power management for unmanned vehicles". Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18026.
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Unmanned Air Vehicles (UAVs) are becoming more widely used in both military and civilian applications. Some of the largest UAVs have power systems equivalent to that of a military strike jet making power management an important aspect of their design. As they have developed, the amount of power needed for loads has increased. This has placed increase strain on the on-board generators and a need for higher reliability. In normal operation these generators are sized to be able to power all on-board systems with out overheating. Under abnormal operating conditions these generators may start to overheat, causing the loss of the generator's power output. The research presented here aims to answer two main questions: 1) Is it possible to predict when an overheat fault will occur based on the expected power usage defined by mission profiles? 2) Can an overheat fault be prevented while still allowing power to be distributed to necessary loads to allow mission completion? This is achieved by a load management algorithm, which adjusts the load profile for a mission, by either displacing the load to spare generators, or resting the generator to cool it down. The result is that for non-catastrophic faults the faulty generator does not need to be fully shut down and missions can continue rather than having to be aborted. This thesis presents the development of the load management system including the algorithm, prediction method and the models used for prediction. Ultimately, the algorithms developed are tested on a generator test rig. The main contribution of this work is the design of a prognostic load management algorithm. Secondary contributions are the use of a lumped parameter thermal model within a condition monitoring application, and the creation of a system identification model to describe the thermal dynamics of a generator.
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Faramarzi, Asaad. "Intelligent computational solutions for constitutive modelling of materials in finite element analysis". Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3305.
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Over the past decades simulation techniques, and in particular finite element method, have been used successfully to predict the response of systems across a whole range of industries including aerospace, automotive, chemical processes, geotechnical engineering and many others. In these numerical analyses, the behaviour of the actual material is approximated with that of an idealised material that deforms in accordance with some constitutive relationships. Therefore, the choice of an appropriate constitutive model that adequately describes the behaviour of the material plays an important role in the accuracy and reliability of the numerical predictions. During the past decades several constitutive models have been developed for various materials. In recent years, by rapid and effective developments in computational software and hardware, alternative computer aided pattern recognition techniques have been introduced to constitutive modelling of materials. The main idea behind pattern recognition systems such as neural network, fuzzy logic or genetic programming is that they learn adaptively from experience and extract various discriminants, each appropriate for its purpose. In this thesis a novel approach is presented and employed to develop constitutive models for materials in general and soils in particular based on evolutionary polynomial regression (EPR). EPR is a hybrid data mining technique that searches for symbolic structures (representing the behaviour of a system) using genetic algorithm and estimates the constant values by the least squares method. Stress-strain data from experiments are employed to train and develop EPR-based material models. The developed models are compared with some of the existing conventional constitutive material models and its advantages are highlighted. It is also shown that the developed EPR-based material models can be incorporated in finite element (FE) analysis. Different examples are used to verify the developed EPR-based FE model. The results of the EPR-FEM are compared with those of a standard FEM where conventional constitutive models are used to model the material behaviour. These results show that EPR-FEM can be successfully employed to analyse different structural and geotechnical engineering problems.
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Mooney, Gabrielle Joanne. "Intelligent information retrieval from the World Wide Web using fuzzy user modelling". Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/10685.
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This thesis investigates the application. of fuzzy logic techniques and user modelling to the process of information retrieval (IR) from the World Wide Web (WWW). The research issue is whether this process can be improved through such an application. The exponential rise of information itself as an invaluable global commodity, coupled with .acceierating development in. computing and telecommunications, and boosted by networked information sources such as the WWW, has led to the development of tools, such as search engines, to facilitate information search and retrieval. However, despite their sophistication, they are unable effectively to. address users' information. needs. Also, as the-WWW can be seen as a dynamic, continuously changing global information corpus, these tools suffer from the problems of irrelevancy and redundancy. Therefore, in order to overcome these problems and remain effective, IR systems need to become 'intelligent' in some way. It is from this premise that the focus of this research has developed. Initially, theoretical and investigative research into the areas ofIR from electronic sources and the nature of the Internet (including the WWW) revealed that highly sophisticated systems are being developed and there is a drive towards the integration of, for example, electronic libraries, COROM networks, and the WWW. Research into intelligent IR, the use of AI techniques to improve the IR process, informed an evaluation of various approaches. This revealed that a munber of techniques, for example, expert systems, neural networks and semantic networks, have been employed, with limited success. Owing to the nature of the WWW, though, many of the previous AI approaches are inapplicable as they rely too much on extensive knowledge of the retrieval corpus. However, the evaluation suggested that fuzzy logic, with its inherent ability to capture partial knowledge within fuzzy sets, is a valid approach. User modelling research indicated that adaptive user stereotypes are a fruitful way to represent different types of user and their information need. Here, these stereotypes are represented as fuzzy sets, ensuring flexibility and adaptivity. The goal of the reported research. then, was not to. develop an 'intelligent agent' but to apply fuzzy logic techniques and user modelling to the process of user query formulation, in order to test the research issue. This issue was whether the application of these techniques could improve the IR process. A prototype system, the Fuzzy Modelling Query Assistant (FMQA), was developed that attempts intelligently to assist the user in capturing their information need. The concept was to refine the user's query before submitting it to an existing search engine, in order to improve upon the IR results of using the search tool alone. To address the research issue, a user study of the FMQA was performed. The design and conduct is reported in depth. The study results were analysed and the findings are given. The results indicate that,. for certain types of user especially, the FMQA does provide improvement in the IR process, in terms of the results. There is a critical review of the research aims in the light of the results, conclusions are drawn and recommendations for future research given.
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Hashim, Siti Zaiton Mohd. "An intelligent framework for modelling and active vibration control of flexible structures". Thesis, University of Sheffield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419631.
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Patel, Vijaykumar Chhaganlal. "Modelling and intelligent fault detection and isolation of aero gas turbine engines". Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286615.
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Zhou, Shang-Ming. "Machine learning and intelligent data analysis for interpretable neuro-fuzzy system modelling". Thesis, University of Essex, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426019.
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Liu, Long. "Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems". Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17846.
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The future grid is different from the current system, and requires more interactions between electrical network and data communication network from the end users to generators. The electrical network acts as a power supply for communication nodes, and in turn, the communication network transmits the control messages for the electrical components. Because of this interdependency, any problems exist in either of these networks may threaten the stability of the whole system. We focus on analysing the vulnerability of the interacted power network and communication network from perspectives of topologies and system operation. An interdiction model is proposed considering the security and operation of both power and communication networks to recognise the crucial set of power components. We solve the interdiction problem using a decomposition method with the consideration of the interdependency between power and communication components. We propose a practical smart grid model as two mutually dependent complex networks with improved interlinks allocation strategy. Moreover, we study the problem of intentional attacks targeting to interdependent networks generated with known degree distribution or distribution of interlinks. In both models, each node's degree is correlated with the number of its links that connect to the other network. Detecting the community structure of a power network can effectively improve the availability of the control actions, which can enhance power system's resilience. This work proposes a method to group the power components into overlapping communities based on the linear sensitivity of the electrical network and complex network theory. This work provides a guidance for the design of the distributed power control system and the power system operation planning.
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Dumbuya, Abdulai Don. "Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation". Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/34591.
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This thesis documents new research into the modelling of driver vision and the integration of a new vision model into a microscopic traffic simulation tool. It is proposed and demonstrated that modelling of driver vision enhances the realism of simulated driver decision-making and behaviour, in turn, leading to improved simulation of driver interactions and traffic flow. Driving and traffic related research has traditionally fallen into the three distinct areas of driver psychology, traffic and highway engineering and vehicle dynamics, with modelling or experimentation in any of these areas supported by significant approximation in the others. In contrast to this, the vision research discussed here has been carried out in a context that aims to integrate all of these areas equally. This has been realised through the implementation of a new modelling environment, Synthetic Driving SIMulation, SD-SIM.
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Patel, Rakeshkumar. "An investigation of distributed modelling and intelligent agent techniques for collaborative task support". Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252233.
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Francis, John Charles. "Qualitative system theory : a systems approach to modelling complex physical processes". Thesis, Heriot-Watt University, 1986. http://hdl.handle.net/10399/1080.
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