Relevant bibliographies by topics / Intelligent agent based on ontological approach

Academic literature on the topic 'Intelligent agent based on ontological approach'

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Published: 30 May 2022
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Journal articles on the topic "Intelligent agent based on ontological approach"

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Lytvyn, V. V., R. V. Vovnjanka, and D. G. Dosyn. "Specialized intelligent agents actions planning methods based on ontological approach." Information extraction and processing 2017, no. 45 (December 26, 2017): 96–103. http://dx.doi.org/10.15407/vidbir2017.45.096.

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The solution of the applied task of constructing intelligent agents (IA) of action planning is proposed. The mathematical support of functioning of intellectual agents of action planning on the basis of ontologies is developed, which made it possible to formalize the behavior of such agents in the state space. The use of ontologies allows narrowing the search space for path from the initial state to the target state, rejecting irrelevant alternatives. A method of narrowing the search area for optimal IA activity is proposed. To assess the reaction of the environment on the behaviour of the IA a method based on reinforcement learning is developed. The two-criterion optimization problem of dynamic programming is formulated, which is solved by one of the iterative methods – by principal component analysis or by the multiple criterion method, depending on the possibility to numerically estimate the target functions of this optimization problem. The architecture of the system of planning the actions of specialized intelligence agents is proposed. It consists of an ontology that contains ontology of tasks, the solution of which is aimed at the functioning of a specialized IA, and a domain ontology, which sets out alternatives to solving individual subtasks. On the example of the problem of corrosion protection of the water supply or gas pipeline pipe the efficiency of the proposed approach is investigated. The software for the functioning of intelligent action planning agents based on constructed models, methods and algorithms has been developed, which make it possible to implement the individual components and functional modules of intellectual action planning agents on the basis of ontologies.
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BAILIN, SIDNEY C., and WALT TRUSZKOWSKI. "Ontology negotiation between intelligent information agents." Knowledge Engineering Review 17, no. 1 (March 2002): 7–19. http://dx.doi.org/10.1017/s0269888902000292.

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This paper describes an approach to ontology negotiation between agents supporting intelligent information management. Ontologies are declarative (data-driven) expressions of an agent's “world”: the objects, operations, facts and rules that constitute the logical space within which an agent performs. Ontology negotiation enables agents to cooperate in performing a task, even if they are based on different ontologies.Our objective is to increase the opportunities for “strange agents” – that is, agents not necessarily developed within the same framework or with the same contextual operating assumptions – to communicate in solving tasks when they encounter each other on the web. In particular, we have focused on information search tasks.We have developed a protocol that allows agents to discover ontology conflicts and then, through incremental interpretation, clarification and explanation, establish a common basis for communicating with each other. We have implemented this protocol in a set of Java classes that can be added to a variety of agents, irrespective of their underlying ontological assumptions. We have demonstrated the use of the protocol, through this implementation, in a test-bed that includes two large scientific archives: NASA's Global Change Master Directory and NOAA's Wind and Sea Index.This paper presents an overview of different methods for resolving ontology mismatches and motivates the Ontology Negotiation Protocol (ONP) as a method that addresses some problems with other approaches. Much remains to be done. The protocol must be tested in larger and less familiar contexts (for example, numerous archives that have not been preselected) and it must be extended to accommodate additional forms of clarification and ontology evolution.
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Lytvyn, Vasyl, Victoria Vysotska, Petro Pukach, Miroslava Vovk, and Dmytro Ugryn. "Method of functioning of intelligent agents, designed to solve action planning problems based on ontological approach." Eastern-European Journal of Enterprise Technologies 3, no. 2 (87) (June 30, 2017): 11–17. http://dx.doi.org/10.15587/1729-4061.2017.103630.

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Massel, Lyudmila V., and Alexey G. Massel. "Development Of Digital Twins And Digital Shadows Of Energy Objects And Systems Using Scientific Tools For Energy Research." E3S Web of Conferences 209 (2020): 02019. http://dx.doi.org/10.1051/e3sconf/202020902019.

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The article discusses an approach to the construction of digital twins and digital shadows, based on the use of scientific tools for complex energy research in Russia. It is proposed to use, as their basis, mathematical models of energy systems and software systems and databases developed at the Energy Systems Institute of SB RAS, for calculations using these models. For each area of research, an ontological model is developed, over which mathematical and information models are built and integrated, as the basis of digital twins and digital shadows of energy objects. In turn, scientific prototypes of digital twins and digital shadows can be used in complex energy studies. To support this research, a modified architecture of the multi-agent intelligent environment is proposed. It is considered as the basis of the future IT infrastructure that integrates modern information and intelligent technologies and implements a new approach to building digital twins and digital shadows using scientific tools.
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Dupplaw, David, Madalina Croitoru, Srinandan Dasmahapatra, Alex Gibb, Horacio González-Vélez, Miguel Lurgi, Bo Hu, Paul Lewis, and Andrew Peet. "A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis." Knowledge Engineering Review 26, no. 3 (July 28, 2011): 247–60. http://dx.doi.org/10.1017/s0269888911000105.

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AbstractThe HealthAgents project aims to provide a decision support system for brain tumour diagnosis using a collaborative network of distributed agents. The goal is that through the aggregation of the small data sets available at individual hospitals, much better decision support classifiers can be created and made available to the hospitals taking part. In this paper, we describe the technicalities of the HealthAgents framework, in particular how the interoperability of the various agents is managed using semantic web technologies. On the broad scale the architecture is based around distributed data-mart agents that provide ontological access to hospitals’ underlying data that has been anonymized and processed from proprietary formats into a canonical format. Classifier producers have agents that gather the global data from participating hospitals such that classifiers can be created and deployed as agents. The design on a microscale has each agent built upon a generic-layered framework that provides the common agent program code, allowing rapid development of agents for the system. We believe that our framework provides a well-engineered, agent-based approach to data sharing in a medical context. It can provide a better basis on which to investigate the effectiveness of new classification techniques for brain tumour diagnosis.
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Maffei, Antonio, and Mauro Onori. "Evolvable Production Systems: Environment for New Business Models." Key Engineering Materials 467-469 (February 2011): 1592–97. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1592.

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The increasing threats and opportunities, on the global markets, challenge today the company at several levels. The actual Manufacturing Systems becomes dramatic for the survival and prosperity of the organization. Agility, Sustainability and high rate of Re-usability are the main objectives of an “Evolvable Production System”. Task-specific and process-oriented modules with embedded intelligence, together with distributed control based on agent technology are the cornerstones of an EPS. The realization and management of this kind of systems entail an ontological approach due to their implicit complexity. The reference architecture is the key to canalize the underlying holism of an EPS towards an effective instantiation, which exploits the “Emergent Behavior”, the key driver of the Evolvability of a system. The issues related with the application of this view, such as dynamic link between product and system design as well as the management of a module repository, underline the weakness of present business models. Therefore a model for the emplacement of a System that follows the “Evolvable Paradigm” predicament has been produced in order to enable further studies. One of the conclusions of the work is the need for a more suitable approach to business by the main actors involved in the realization of an EPS. Sharing information and standards about product design and modules realization becomes a compulsory strategic choice.
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Andon, P. I., J. V. Rogushina, I. Yu Grishanova, V. A. Reznichenko, A. M. Kyridon, A. V. Aristova, and A. O. Tishchenko. "Experience of the semantic technologies use for intelligent Web encyclopedia creation (on example of the Great Ukrainian Encyclopedia portal)." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 246–58. http://dx.doi.org/10.15407/pp2020.02-03.246.

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We consider the conceptual principles of the Great Ukrainian Encyclopedia development and analyze the main advantages of its portal version – e-VUE. This portal version requires the relevant technological platform with high-level expressiveness and efficiency. Development of e-VUE with complex knowledge structure causes the study of modern Web-technologies and matching their capabilities with the specific requirements of encyclopedia. Therefore we consider in details the project idea and purposes, the specifics of e-VUE information representation (number and volume of articles, content types and sources, relations between content elements and their properties, business processes of article publication, design requirements) and processing (navigation, requests, integration and matching means) to estimate the Wiki-technology feasibility use (namely - opportunities and restrictions of MediaWiki technological platform). Also attention is paid to the means of information security ensuring and semantic-based establishment of content access rights. The results of such analysis show that MediaWiki with semantic plugins can be used as a base for e-VUE portal construction but needs in extension of its functionality based on modern knowledge management tools and formats of their interoperable representation. Now we are oriented on use of ontological analysis and Semantic Web standards (OWL, RDF, SPARQL). In terms of the Semantic Web, e-VUE is a distributed database with heterogeneous types of information objects that can be used both by humans and by external software (e.g. by intelligent agents). The main principles of e-VUE knowledge base organization are grounded on Wiki categories and semantic properties of Semantic MediaWiki that are used for formal representation of the e-VUE typical information objects (TIO). Such approach allows to express TIO relations, properties and characteristics that can be used by logical inference and semantic retrieval to improve the navigation between portal elements and integration of data from various Wiki pages.
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Volchenkov, Evgeny. "Interpretation problems: general mechanism and fundamental limitations of classical methods." Kybernetes 44, no. 5 (May 5, 2015): 692–704. http://dx.doi.org/10.1108/k-02-2014-0038.

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Purpose – The purpose of this paper is to investige the general computing mechanisms of solving the system information problems of interpretation and its fundamental limitations, due to physical basis Turing machine. Design/methodology/approach – For creation of theoretical base of methodology, the authors make an attempt to demonstrate the possibility of a constructive building of Turing machine as meta-ontological basis of computing. In the course of this building the role of the operator of atomic implicative transition if-then as generic operator of recognition/decision-making is shown. In order to substantiate the thesis about the determinative role of implicative transition in the interpretation mechanisms, the authors will carry out the comparative analysis methods of interpretation in systems of pattern recognition and expert systems interpretation type. Findings – The carried-out analysis allows to formulate a common mechanism underlying the classical methods of solving problems of interpretation and to concretize the fundamental limitations of these methods, caused computational basis of their actualization. The cybernetic interpretation of this mechanism is offered. Originality/value – The fundamental limitations of classical methods of solving problems of interpretation sets the boundaries of the cybernetic approach and allows to outline a way out beyond it. In this context, the authors put forward knowledge-based mechanism of perceptual modeling of dynamics of system visual environment – autonomous agent.
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Samigulina, G. A., and T. I. Samigulin. "Development of a cognitive mnemonic scheme for an optical Smart-technology of remote learning of the Experions PKS distributed control system on the basis of Artificial Immune Systems." Computer Optics 45, no. 2 (April 2021): 286–95. http://dx.doi.org/10.18287/2412-6179-co-736.

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The article discusses current issues related to the development of an information optical Smart technology for distance learning of Honeywell's distributed Experion PKS control system for the oil and gas industry. About 70 % of industrial accidents are caused by the human factor through the fault of operators. The work of operators consists in monitoring and managing high-tech proc-esses through mnemonic scheme circuits and is characterized by increased tension in the visual apparatus, as well as general fatigue and loss of concentration. The innovative personalized tech-nology of distance learning takes into account the peculiarities of students' vision by adjusting the color supply of educational material and the dynamic presentation of information depending on the person's psychotype and is based on the use of cognitive, optical, multi-agent technologies, as well as ontological and immuno-network approaches. The development of cognitive mnemonic schemes is carried out taking into account these features, which allows one to reduce the load on the visual apparatus and increase the effectiveness of teaching practical skills when working with mnemonic schemes. An artificial immune systems approach is used to predict and evaluate the learning process and promptly adjust the knowledge obtaining process. A modified algorithm for the functioning of a distance learning system based on the use of optimization algorithms for arti-ficial intelligence and an algorithm for immuno-network modeling has been developed. General principles of creating mimic diagrams and existing Honeywell mnemonic schemes are considered. An example of the implementation of the proposed remote technology is presented and results of the simulation of cognitive mnemonic scheme for various categories of students with special needs are discussed.
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Frolov, Dmitriy E., and Alla N. Somkina. "PERSONALITY AND ITS FORMATION IN ONTOGENESIS AND PHYLOGENESIS." Humanitarian: actual problems of the humanities and education, no. 3 (September 30, 2018): 341–51. http://dx.doi.org/10.15507/2078-9823.043.018.201803.341-351.

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Introduction. The article is devoted to the problem of the emergence and formation of personality in the process of ontogeny and phylogenies. Methods. This issue is still open. The answers to it fit within the framework of three main research paradigms: the evolutionary (labor) theory, the creationist (human created by God) and the theory of extraterrestrial origin of human (intelligent life is brought to our planet from outer space). Supporters of each approach advocate arguments in favor of their theories. Discussion and Results. The authors’ point of view is that a person is a system of spiritual, psychological and socio-spiritual properties of a person, which, genetically based on natural inclinations and properties, is individually formed and manifested in different types of activity and social relations. Ontologically the personality of the individual is formed in a modern society, approximately by 14 years. At the same time, he or she goes through the processes of socialization and acculturation. Phylogenetically, the personality arose in a primitive society. The distinctive features of the individual and the primitive and civilized societies are considered. It is stated that the alienation of the individual elements are preserved in modern society. Conclusion. Thus, summing up, we can state that the person first emerged in primitive society with the emergence and formation of social relations and ties, the primary carrier and agent of which was the personality of the primitive communal human.
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Dissertations / Theses on the topic "Intelligent agent based on ontological approach"

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Павлова, Ольга Олександрівна, and Olga Pavlova. "Агентно-орієнтована інформаційна технологія оцінювання початкових етапів життєвого циклу програмного забезпечення на основі онтологічного підходу партнерів." Дисертація, Хмельницький національний університет, 2020. http://elar.khnu.km.ua/jspui/handle/123456789/9851.

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У дисертаційній роботі розв’язана актуальна науково-прикладна задача автоматизації оцінювання початкових етапів життєвого циклу програмного забезпечення шляхом розроблення агентно-орієнтованої інформаційної технології (АОІТ) на основі онтологічного підходу, яка забезпечує: автоматизацію трудомісткого, рутинного та схильного до помилок завдання розбору специфікацій вимог та майже миттєве його виконання; підказку, де потрібна повторна робота над специфікацією вимог (користувач може переглядати відсутні атрибути та бачити області специфікації, яким потрібна додаткова увага, а також які вимоги потребують переробки); забезпечення навчання для нових розробників специфікацій, системних інженерів та менеджерів проєктів (використання цієї AOIT допомагає їм побачити помилки, які вони можуть допускати, та допомагає їм розпізнати ці помилки в роботі інших); допомогу в розробці вимог високої якості; допомогу у виправленні та усуненні помилок у вимогах там, де вони виникають – на ранніх етапах життєвого циклу програмного забезпечення – до того, як вони стануть дорожчими для виправлення; надання інструменту для вибору більш якісних специфікацій програмних вимог; безкоштовний доступ через Інтернет в будь-який час без будь-якої реєстрації.
The dissertation solves the current scientific and applied problem of automating the assessment of the initial stages of the software life cycle by developing agentoriented information technology based on an ontological approach, which provides: automation of time-consuming, routine and error-prone task analysis requirements and its almost instantaneous implementation; a hint where the requirements specification needs rework (the user can view the missing attributes and see the areas of the specification that need extra attention, as well as which requirements need to be reworked); providing training for new specification developers, systems engineers, and project managers (using this AOIT helps them to see the mistakes they may make and helps them to recognize these mistakes in the work of others); assistance in developing high quality requirements; assistance in correcting requirements errors where they occur – in the early stages of the software life cycle - before they become more expensive to correct; providing a tool for selecting better specifications of software requirements; free internet access at any time without any registration.
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Mora, Randall P., and Jerry L. Hill. "Service-Based Approach for Intelligent Agent Frameworks." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595661.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
This paper describes a service-based Intelligent Agent (IA) approach for machine learning and data mining of distributed heterogeneous data streams. We focus on an open architecture framework that enables the programmer/analyst to build an IA suite for mining, examining and evaluating heterogeneous data for semantic representations, while iteratively building the probabilistic model in real-time to improve predictability. The Framework facilitates model development and evaluation while delivering the capability to tune machine learning algorithms and models to deliver increasingly favorable scores prior to production deployment. The IA Framework focuses on open standard interoperability, simplifying integration into existing environments.
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Wang, Xiaohuan, and 王晓欢. "Knowledge sharing and utilization of the ontological agent-based virtual enterprises." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46593056.

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Jules, Désiré Guiovanni. "An agent-based approach to intelligent manufacturing network configuration." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6681/.

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The participation of small and medium enterprises in inter-firm collaboration can enhance their market reach while maintaining production lean. The conventional centralised collaboration approach is believed to be unsustainable, in today’s complex environment. The research aimed to investigate manufacturing network collaborations, where manufacturers maintain control over their scheduling activities and participate in a market-based event, to decide which collaborations are retained. The work investigated two pairing mechanisms where the intention was to capture and optimise collaboration at the granular level and then build up a network from those intermediate forms of organisation. The research also looked at two bidding protocols. The first protocol involves manufacturers that bid for operations from the process plan of a job. The second protocol is concerned with networks that bid for a job in its entirety. The problem, defined by an industrial use case and operation research data sets, was modelled as decentralised flow shop scheduling. The holonic paradigm identified the problem solving agents that participated in agent-based modelling and simulation of the pairing and the bidding protocols. The protocols are strongly believed to achieve true decentralisation of scheduling, with good performance on scalability, conflict resolution and schedule optimisation, for the purpose of inter-firm collaboration.
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Mangina, Eleni E. "Agent-based approach for intelligent data interpretation within monitoring applications." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249047.

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Fang, Fang, and 方芳. "A life-cycle-oriented negotiation framework for supply chain management: an agent-based approach withhybrid learning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39362437.

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Fang, Fang. "A life-cycle-oriented negotiation framework for supply chain management : an agent-based approach with hybrid learning /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38289659.

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Hill, Jerry L., and Randall P. Mora. "An Autonomous Machine Learning Approach for Global Terrorist Recognition." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581675.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California
A major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.
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Rossetti, Rosaldo Jose Fernandes. "A BDI-based approach for the assessment of driver's decision-making in commuter scenarios." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2002. http://hdl.handle.net/10183/5595.

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O rápido crescimento das regiões urbanas tem impacto significativo nos sistemas de tráfego e transportes. Políticas de gerenciamento e estratégias de planejamento alternativas são claramente necessárias para o tratamento da capacidade limitada, e cada vez mais deficitária, das redes viárias. O conceito de Sistemas Inteligentes de Transportes (ITS) surge neste cenário; mais do que procurar aumentar a capacidade por meio de modificações físicas na infraestrutura, sua premissa baseia-se na utilização de tecnologias avançadas de comunicação e computação para melhor gerir os recursos de tráfego e transportes atuais. Influenciar o padrão do comportamento dos usuários é um desafio que tem estimulado muita pesquisa na área de ITS, onde fatores humanos passam a ter grande importância na modelagem, simulação e avaliação dessa abordagem inovadora. Este trabalho tem como foco a utilização de Sistemas Multiagentes (MAS) na representação dos sistemas de tráfego e transporte, com base nas novasmedidas de desempenho impostas pelas tecnologias ITS. As características de agentes têm grande potencial para representar componentes geográfica e funcionalmente distribuídos, como a maioria dos elementos no domínio da aplicação. Uma arquitetura BDI (beliefs, desires, intentions) é apresentada como alternativa a modelos tradicionais, usados para representar o comportamento do motorista em simulação microscópica, considerando-se a representação explícita dos estados mentais dos usuários. Os conceitos básicos de ITS e MAS são apresentados, assim como exemplos de aplicações relacionados com o tema do trabalho. Esta foi a motivação para a extensão de um simulador microscópico existente, no sentido de incorporar as características dos MAS para melhorar a representação dos motoristas. Assim, a demanda é gerada a partir de uma população de agentes, resultando da decisão sobre a rota e o tempo de partida ao longo de vários dias. O modelo estendido, que passa a suportar a interação de motoristas BDI, foi efetivamente implementado e foram executados diferentes experimentos para testar a abordagem em cenários de tráfego urbano. MAS permite uma abordagem direcionada a processos que facilita a construção de representações modulares, robustas, e extensíveis, características pouco presentes em abordagens voltadas ao resultado. Suas premissas de abstração permitem uma associação direta entre modelo e implementação. Incerteza e variabilidade são assim tratadas de maneira mais intuitiva, uma vez que arquiteturas cognitivas permitem uma fácil representação do comportamento humano na estrutura do motorista. Desta forma, MAS estende a simulação microscópica de tráfego no sentido de melhor representar a complexidade inerente às tecnologias ITS.
The rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.
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Almejalli, Khaled A. "Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4264.

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The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system for road traffic management to assist the human operator to identify the most suitable control actions in order to deal with non-recurrent and non-predictable traffic congestion in a real-time situation. Our intelligent system employs a Fuzzy Neural Networks (FNN) Tool that combines the capabilities of fuzzy reasoning in measuring imprecise and dynamic factors and the capabilities of neural networks in terms of learning processes. In this work we present an effective learning approach with regard to the FNN-Tool, which consists of three stages: initializing the membership functions of both input and output variables by determining their centres and widths using self-organizing algorithms; employing an evolutionary Genetic Algorithm (GA) based learning method to identify the fuzzy rules; tune the derived structure and parameters using the back-propagation learning algorithm. We evaluate experimentally the performance and the prediction capability of this three-stage learning approach using well-known benchmark examples. Experimental results demonstrate the ability of the learning approach to identify all relevant fuzzy rules from the training data. A comparative analysis shows that the proposed learning approach has a higher degree of predictive capability than existing models. We also address the scalability issue of our intelligent traffic control decision support system by using a multi-agent based approach. The large network is divided into sub-networks, each of which has its own associated agent. Finally, our intelligent traffic control decision support system is applied to a number of road traffic case studies using the traffic network in Riyadh, in Saudi Arabia. The results obtained are promising and show that our intelligent traffic control decision support system can provide an effective support for real-time traffic control.
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Books on the topic "Intelligent agent based on ontological approach"

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An agent-based approach for coordinated multi-provider service provisioning. Boston: Birkhauser Verlag, 2002.

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An Agent-Based Approach for Coordinated Multi-Provider Service Provisioning. Springer My Copy UK, 2002.

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Matchmaking in Electronic Markets: An Agent-Based Approach towards Matchmaking in Electronic Negotiations (Lecture Notes in Computer Science). Springer, 2004.

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Book chapters on the topic "Intelligent agent based on ontological approach"

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Drogoul, Alexis. "Keynote Speech: A Review of the Ontological Status, Computational Foundations and Methodological Processes of Agent-Based Modeling and Simulation Approaches: Open Challenges and Research Perspectives." In Intelligent Agents and Multi-Agent Systems, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6_1.

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Li, Li, and Yun Yang. "An Agent-Based Ontological Approach for Information Reorganisation." In Lecture Notes in Computer Science, 1096–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11941439_129.

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Shen, Zhiqi, Robert Gay, and Yuan Miao. "Agent-Based elearning Systems: A Goal-Based Approach." In Intelligent Knowledge-Based Systems, 924–39. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/978-1-4020-7829-3_27.

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Byrski, Aleksander, and Marek Kisiel-Dorohinicki. "Agent-Based Approach to Continuous Optimisation." In Advances in Intelligent Systems and Computing, 487–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02309-0_53.

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Hao, Zhiyong, Bin Liu, Junfeng Wu, and Jinhao Yao. "Exploiting Ontological Reasoning in Argumentation Based Multi-agent Collaborative Classification." In Intelligent Information and Database Systems, 23–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15702-3_3.

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Yang, Zining, Kyungkook Kang, and Jacek Kugler. "An Agent-Based Approach on Conditional Deterrence." In Advances in Intelligent Systems and Computing, 333–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60591-3_30.

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Fischer, Klaus. "An Agent-Based Approach to Holonic Manufacturing Systems." In Intelligent Systems for Manufacturing, 3–12. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35390-6_1.

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Czarnowski, Ireneusz, and Piotr Jedrzejowicz. "An Agent-Based Approach to ANN Training." In Research and Development in Intelligent Systems XXII, 191–201. London: Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-226-3_15.

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Lypak, O. Halyna, Vasyl Lytvyn, Olga Lozynska, Roman Vovnyanka, Yurii Bolyubash, Antonii Rzheuskyi, and Dmytro Dosyn. "Formation of Efficient Pipeline Operation Procedures Based on Ontological Approach." In Advances in Intelligent Systems and Computing, 571–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01069-0_41.

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Sivakumar, N., and K. Vivekanandan. "Testing an Agent Based E-Novel System – Role Based Approach." In Advances in Intelligent Systems and Computing, 165–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_19.

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Conference papers on the topic "Intelligent agent based on ontological approach"

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Acampora, Giovanni, Chang-Shing Lee, and Mei-Hui Wang. "FML-Based Ontological Agent for Healthcare Application with Diabetes." In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009. http://dx.doi.org/10.1109/wi-iat.2009.314.

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Taylor, Julia M. "Computational Detection of Humor: A Dream or a Nightmare? The Ontological Semantics Approach." In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009. http://dx.doi.org/10.1109/wi-iat.2009.318.

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Afanasyev, A. N., N. N. Voit, and D. S. Kanev. "Development of intelligent learning system based on the ontological approach." In 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2016. http://dx.doi.org/10.1109/icaict.2016.7991794.

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Vorozhtsova, Tatiana, and Sergey Skripkin. "Ontological Analysis of Vulnerabilities in the Energy Sector." In Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/iwci-18.2018.35.

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Yus, Roberto, Eduardo Mena, and Enrique Solano-Bes. "Generic Rules for the Discovery of Subsumption Relationships Based on Ontological Contexts." In 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015. http://dx.doi.org/10.1109/wi-iat.2015.107.

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Merdan, Munir, Gottfried Koppensteiner, Alois Zoitl, and Ingo Hegny. "Intelligent-agent based approach for assembly automation." In 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia). IEEE, 2008. http://dx.doi.org/10.1109/smcia.2008.5045928.

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Qiu Qin and Junhu Wei. "An agent-based approach for crowd dynamics simulation." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658843.

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Alves, Jhonatan, and Jerusa Marchi. "Web Service Composition: An Agent-Based Approach." In 2017 Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2017. http://dx.doi.org/10.1109/bracis.2017.79.

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Capkovic, Frantisele. "Agent based approach to modelling ATM network." In 2012 6th IEEE International Conference Intelligent Systems (IS). IEEE, 2012. http://dx.doi.org/10.1109/is.2012.6335198.

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Ikram, K., Wan Khairunizam, Azri A. Aziz, I. Zunaidi, S. A. Bakar, Z. M. Razlan, Rudzuan Mohd Nor, and W. A. Mustafa. "Ontological Approach on Designing Knowledge Domain Presentation of MOCAP based on Arm Movement." In 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2018. http://dx.doi.org/10.1109/iciibms.2018.8549996.

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