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Dissertations / Theses on the topic 'Intelligent agent'
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1
Nickolaenko, A. V., and D. O. Marchenko. "Affective intelligent driving agent (AIDA)." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/31087.
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It’s impossible to imagine modern world without using motor cars. AIDA aims to change the way we interact with our car. MIT(Massachusetts Institute of Technology) researchers and designers are developing the Affective Intelligent Driving Agent (AIDA) - a new in-car personal robot that brings a revolution to life of all motor-cars’ users.
When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/31087
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Tantrairatn, Suradet. "Intelligent control agent for autonomous UAS." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/13543/.
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A self reconfiguring autopilot system is presented, which is based on a rational agent framework that integrates decision making with abstractions of sensing and actions for next generation unmanned aerial vehicles. The objective of the new intelligent control system is to provide advanced capabilities of self-tuning control for a new UAS airframe or adaptation for an old UAS in the presence of failures in adverse flight conditions. High-level system performance is achieved through on-board dynamical monitoring and estimation associated with controller switching and tuning by the agent. The agent can handle an untuned autopilot or retune the autopilot when dynamical changes occur due to aerodynamic and on-board system changes. The system integrates dynamical modelling, hybrid adaptive control, model validation, flight condition diagnosis, control performance evaluation through software agent development. An important feature of the agent is its abstractions from real-time measurements and also its abstractions from model based on-board simulation. The agent, while tuning and supervising the autopilot, also performs real-time evaluations on the effects of its actions.
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Rahwan, Iyad. "Interest-based negotiation in multi-agent systems." Connect to thesis, 2004. http://repository.unimelb.edu.au/10187/2885.
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Software systems involving autonomous interacting software entities (or agents) present new challenges in computer science and software engineering. A particularly challenging problem is the engineering of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reach common objectives, or exchange resources to better achieve their individual objectives. This thesis is concerned with negotiation: a process through which multiple self-interested agents can reach agreement over the exchange of scarce resources. In particular, I focus on settings where agents have limited or uncertain information, precluding them from making optimal individual decisions. I demonstrate that this form of bounded-rationality may lead agents to sub-optimal negotiation agreements. I argue that rational dialogue based on the exchange of arguments can enable agents to overcome this problem. Since agents make decisions based on particular underlying reasons, namely their interests, beliefs and planning knowledge, then rational dialogue over these reasons can enable agents to refine their individual decisions and consequently reach better agreements. I refer to this form of interaction as “interested-based negotiation.” (For complete abstract open document)
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Hu, Yuebing, and 胡跃冰. "Consensus control of multi-agent systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658657X.
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LISNYAK, TATYANA. "AN AGENT-BASED SYSTEM FOR INTELLIGENT INTERNET SHOPPING." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026130092.
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Wang, Xin. "A fuzzy logic based intelligent negotiation agent." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27194.
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With the evolution of electronic commerce (eCommerce) on the web and the rise of interests in intelligence of software agents, automated negotiation is becoming an increasingly popular method for an eCommerce system to be efficient; however, negotiation, which takes place in transaction, is complicated, time-consuming and costly for participants to reach an agreement. This thesis presents a model of an intelligent negotiation agent based on fuzzy logic methodology in order to alleviate the complexity of negotiation. The proposed negotiation agent model is particularly suitable to open environments, such as the Internet. The conventional methods, such as game theory, are incapable of handling an open environment where the information is sparse and full of uncertainty, while the fuzzy approaches are suitable to elegantly deal with this problem. The fuzzy logic based intelligent negotiation agent, presented in this thesis, is able to interact autonomously and consequently save human labor in negotiations. The aim of modeling a negotiation agent is to reach mutual agreement efficiently and intelligently. The negotiation agent is able to negotiate with other such agents, over various sets of issues, on behalf of the real-world parties they represent, i.e. it can handle multi-issue negotiation.
The reasoning model of the negotiation agent has been implemented partially by using c# based on Microsoft .NET. The reliability and the flexibility of the reasoning model are finally evaluated. The results show that performance of the proposed agent model is acceptable for negotiation parties to achieve mutual benefits.
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Abdullah, Bashar. "Intelligent multi-agent-based virtual gauges (IMAGES)." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ38731.pdf.
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Jing, Yanguo. "A model based intelligent interface agent architecture." Thesis, Heriot-Watt University, 2004. http://hdl.handle.net/10399/328.
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Rabelo, Mendizabal Luis C. (Luis Carlos) 1960. "What intelligent agent is smarter? : a comparison." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/91726.
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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, NevadaThis 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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Huhtinen, J. (Jouni). "Utilization of neural network and agent technology combination for distributed intelligent applications and services." Doctoral thesis, University of Oulu, 2005. http://urn.fi/urn:isbn:9514278550.
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Abstract
The use of agent systems has increased enormously, especially in the field of mobile services. Intelligent services have also increased rapidly in the web. In this thesis, the utilization of software agent technology in mobile services and decentralized intelligent services in the multimedia business is introduced and described. Both Genie Agent Architecture (GAA) and Decentralized International and Intelligent Software Architecture (DIISA) are described.
The common problems in decentralized software systems are lack of intelligence, communication of software modules and system learning. Another problem is the personalization of users and services. A third problem is the matching of users and service characteristics in web application level in a non-linear way. In this case it means that web services follow human steps and are capable of learning from human inputs and their characteristics in an intelligent way. This third problem is addressed in this thesis and solutions are presented with two intelligent software architectures and services.
The solutions of the thesis are based on a combination of neural network and agent technology. To be more specific, solutions are based on an intelligent agent which uses certain black box information like Self-Organized Map (SOM). This process is as follows; information agents collect information from different sources like the web, databases, users, other software agents and the environment. Information is filtered and adapted for input vectors. Maps are created from a data entry of an SOM. Using maps is very simple, input forms are completed by users (automatically or manually) or user agents. Input vectors are formed again and sent to a certain map. The map gives several outputs which are passed through specific algorithms. This information is passed to an intelligent agent.
The needs for web intelligence and knowledge representation serving users is a current issue in many business solutions. The main goal is to enable this by means of autonomous agents which communicate with each other using an agent communication language and with users using their native languages via several communication channels.
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Andrade, Sylvio F. "An intelligent agent simulation of shipboard damage control." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA380225.
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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2000.Thesis advisors: Rowe, Neil C. ; Gaver, Donald Paul. Includes bibliographical references (p. 61-63). Also Available online.
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Kirmse, Matthias, and Uwe Petersohn. "Architecture of an Intelligent Test Error Detection Agent." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-83943.
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In this paper we present the architecture of an intelligent test error detection agent that is able to independently supervise the test process. By means of rationally applied bin and cause specific retests it should detect and correct the majority of test errors with minimal additional test effort. To achieve this, the agent utilizes test error models learned from historical example data to rate single wafer runs. The resulting run specific test error hypotheses are sequentially combined with information gained from regular and ordered retests in order to infer and update a global test error hypothesis. Based on this global hypothesis the agent decides if a test error exists, what its most probable cause is and which bins are affected. Consequently, it is able to initiate proper retests to check the inferred hypothesis and if necessary correct the affected test runs. The paper includes a description of the general architecture and discussions about possible test error models, the inference approach to generate the test error hypotheses from the given information and a possible set of rules to act upon the inferred hypothesis.
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Ieong, Weng Pan. "The framework of mobile device intelligent agent system." Thesis, University of Macau, 2006. http://umaclib3.umac.mo/record=b1636425.
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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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Chung, Kit-lun, and 鐘傑麟. "Intelligent agent for Internet Chinese financial news retrieval." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B30106503.
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Oliva, Enrico <1976>. "Argumentation and artifacts for intelligent multi-agent systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/919/.
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Reasoning under uncertainty is a human capacity that in software system
is necessary and often hidden. Argumentation theory and logic make
explicit non-monotonic information in order to enable automatic forms of
reasoning under uncertainty. In human organization Distributed Cognition
and Activity Theory explain how artifacts are fundamental in all cognitive
process. Then, in this thesis we search to understand the use of cognitive
artifacts in an new argumentation framework for an agent-based artificial
society.
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Aphale, Mukta S. "Intelligent agent support for policy authoring and refinement." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=225826.
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A policy (or norm) can be defined as a guideline stating what is allowed, what is forbidden and what is obligated for an entity, in a certain situation, so that an acceptable outcome is achieved. Policies occur in many types of scenarios, whether they are loose social networks of individuals or highly structured institutions. It is important, however, for policies to be consistent and to support the goals of organisations they govern. This requires a thorough understanding of the implications of introducing specific policies and how they interact. It is difficult, even for experts, to write consistent, unambiguous and accurate policies, and conflicts are practically unavoidable. At the same time conflicts may vary in significance. For example, some conflicts are most likely to occur, some conflicts may lead to high cost for goal achievement while some conflicts may lead to severe obstacles in the achievement of goals. Such conflicts are the most significant for the domain and goals of organisation. Resolution of conflicts that will clear the obstacles in the goal achievement and will maximize the benefits received must be prioritised. In order to resolve conflicts and refine policies; it is crucial to understand the implications of policies, conflicts and resolutions in terms of goal achievement and benefits to organisation. There exist huge number of policies and conflicts occurring within any organisation. Human decision makers are most likely to be cognitively overloaded. Making is difficult for them to decide which conflicts to prioritise in order to successfully achieve goals while maximizing benefits. Automated reasoning mechanisms can effectively support human decision makers in this process. In this thesis, we have addressed the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans (to achieve a given goal) and policies. We also present an empirical evaluation of a model of conflict detection and prioritisation through experiments with human users. Our empirical evaluations prove that providing guidance to users regarding what conflicts to prioritise and highlighting related conflicts lead to higher quality outcomes, thereby achieving goals successfully and rapidly.
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Hutchinson, Matthew John. "Developing an agent-based framework for intelligent geocoding." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/2179.
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Geocoding is essential to translating a physical address such as a house, business or landmark into spatial coordinates which are used in a range of everyday activities. Geocoding is an active area of research, both within the literature and also in industry. Despite progress in the field, there remains a small portion of addresses which are difficult to geocode. The purpose of this research is to explore the use of agent-based techniques to add intelligence to the geocoding process. The importance of the research stems from its potential to move geocoding in a new direction, by complementing current theory and practice with control and knowledge improvements which will improve geocoding results.The investigation was undertaken by identifying the issues relevant to intelligent geocoding, designing an agent-based solution and building a prototype. The prototype was then evaluated using sample addresses to assess its quantitative performance, and its qualitative performance was evaluated based on the new functionality it provided. Results indicate that intelligence in geocoding is a product of both context and semantics (at a conceptual level) and control and knowledge (at an implementation level), where the two are “connected” by the agent paradigm which is both a representation and a solution. Other conclusions include that further development in learning and semantics in geocoding would allow the knowledge base to infer new knowledge and store insights regarding the spatial cognition of users.
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Mataric, Maja J. "Interaction and Intelligent Behavior." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/7343.
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We introduce basic behaviors as primitives for control and learning in situated, embodied agents interacting in complex domains. We propose methods for selecting, formally specifying, algorithmically implementing, empirically evaluating, and combining behaviors from a basic set. We also introduce a general methodology for automatically constructing higher--level behaviors by learning to select from this set. Based on a formulation of reinforcement learning using conditions, behaviors, and shaped reinforcement, out approach makes behavior selection learnable in noisy, uncertain environments with stochastic dynamics. All described ideas are validated with groups of up to 20 mobile robots performing safe--wandering, following, aggregation, dispersion, homing, flocking, foraging, and learning to forage.
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Gao, Shijia. "Intelligent agent assisted decision support for family financial planning /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-is-b19887735a.pdf.
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Thesis (M.Phil.)--City University of Hong Kong, 2005."Submitted to Department of Information Systems in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 114-132)
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Fowler, David N. "Innovating the standard procurement system utilizing intelligent agent technologies." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA374389.
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Thesis (M.S. in System Management) Naval Postgraduate School, December 1999."December 1999". Thesis advisor(s): Mark E. Nissen, David A. Smith. Includes bibliographical references (p. 151-154). Also available online.
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Won, Jong-Seob. "Intelligent energy management agent for a parallel hybrid vehicle." Texas A&M University, 2004. http://hdl.handle.net/1969.1/271.
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This dissertation proposes an Intelligent Energy Management Agent (IEMA) for parallel hybrid vehicles. A key concept adopted in the development of an IEMA is based on
the premise that driving environment would affect fuel consumption and pollutant emissions, as well as the operating modes of the vehicle and the driver behavior do. IEMA incorporates a driving
situation identification component whose role is to assess the driving environment, the driving style of the driver, and the operating mode (and trend) of the vehicle using long and short
term statistical features of the drive cycle.
This information is subsequently used by the torque distribution and charge sustenance components of IEMA to determine the power
split strategy, which is shown to lead to improved fuel economy and reduced emissions.
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Menon, Jithu. "Soar Checkers - an intelligent checkers playing agent in Soar /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181251081/.
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Doctor, Faiyaz. "Adaptive fuzzy embedded agent approaches for ambient intelligent environments." Thesis, University of Essex, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542367.
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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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Yang, Christopher C., Jerome Yen, and Hsinchun Chen. "Intelligent internet searching agent based on hybrid simulated annealing." Elsevier, 2000. http://hdl.handle.net/10150/106492.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaThe World-Wide Web WWW based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure NII applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider agent, which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.
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Lee, John Ray. "Conversations with an intelligent agent-- modeling and integrating patterns in communications among humans and agents." Diss., University of Iowa, 2006. http://ir.uiowa.edu/etd/61.
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Marby, Christofer, and Andreas Öberg. "Intelligenta System." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20231.
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Intresset för agenter som forskningsområde är någonting relativt nytt. Agenter i sig är en naturlig del av Artificiell intelligens men det är först på senare tid som de hamnat i fokus. Begreppet agent har spridit sig som en löpeld utanför AI-forskningen och kan hittas i många andra områden. Vad detta intresse för agenter kommer ifrån kan debatteras men det är troligtvis dels en följd av att internet visat hur kraftfullt ett distribuerat system kan vara, och att agenter och botar bokar våra biljetter samt söker igenom webbsidor åt oss.Arbetets huvudfråga är att undersöka hur ett intelligent system (för värmedistributionen i ett hus) kan uppnås genom att koppla ihop ett antal agenter med begränsade funktionalitet och distinkta uppgifter. Intelligensen i systemet ska uppnås genom samverkan mellan de olika agenterna. Denna studies förslag för att lösa problemet är en teoristudie av existerande litteratur för designprinciper samt design och implementering av ett exempelsystem, som sedan kommer att simuleras i för att samla in data gällande validitet.Experimentet visade att ett agentsystem kan ge en klar ekonomisk besparing men kommer också med ett relativt högt pris för att implementeras. Om agenterna kan dela infrastruktur genom att installeras samtidigt som ett nytt hus byggs och kan använda tänkt infrastruktur. Dessutom kan besparingen utökas genom att agentsystemet appliceras på en större nybyggnation.
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Trescak, Tomás. "Intelligent Generation and Control of Interactive Virtual Worlds." Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/117675.
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Esta tesis aboga por el uso de los mundos virtuales como una tecnología de futuro en el dominio de
los mundos virtuales serios, en particular en aplicaciones e-‐* (e-‐learning, e-‐commerce, e-‐
government) y en simulaciones sociales. En estas aplicaciones, el entorno virtual 3D está poblado
por un gran número de habitantes que pueden ser humanos o avatares controlados por agentes
virtuales inteligentes que se involucran en interacciones complejas con su entorno y con los demás
participantes.
Un problema importante que impide la adopción generalizada de la tecnología de mundos virtuales
en estos dominios es que, en general, los mundos virtuales son difíciles de construir y se tiene que
emplear un gran esfuerzo en el diseño del entorno virtual 3D y en la programación de los agentes
virtuales; pero es aún más difícil asegurar la validez de las interacciones de forma que se prevengan
comportamientos no permitidos.
Para abordar este problema, hemos desarrollado una solución integral que automatiza el diseño de
estos mundos virtuales y de su población. Nuestro enfoque se basa en la utilización de las
instituciones virtuales, que son mundos virtuales que regulan las interacciones de sus participantes.
El enfoque principal de esta tesis está en explicar cómo los métodos existentes de especificación
formal de las instituciones virtuales se pueden extender para traducir automáticamente la
especificación institucional en un entorno interactivo 3D utilizando el enfoque de las gramáticas de
formas (Shape Grammars) y para poblar, de forma también automática, este tipo de entornos con
agentes virtuales.
Las gramáticas de formas son una técnica visual potente para la generación de diseños 2D y 3D,
pero el trabajo realizado hasta el momento en esta área no se adecua a las características de
nuestro problema. Por lo tanto, en esta tesis hemos extendido los trabajos realizados en este
campo y hemos desarrollado el framework “Shape Grammar Interpreter”, que se ocupa de las
limitaciones de las soluciones existentes. Hemos utilizado este framework para el desarrollo del
concepto de Virtual World Grammar, que es un subconjunto de las gramáticas de formas dirigido a
la generación automática de mundos virtuales normativos. Como resultado de esta tesis, la Virtual
World Grammar ha sido formalizada e implementada en un entorno de desarrollo que no sólo
permite la generación automática de mundos virtuales normativos, sino también su
implementación independiente de la plataforma (utilizando VIXEE, la infraestructura que se ha
desarrollado como una parte importante de esta tesis).
Otra contribución de esta tesis es el desarrollo de un mecanismo de generación automática de un
gran número de agentes de software. Estos agentes son capaces de realizar interacciones
inteligentes con objetos 3D dentro del entorno. Además, estos agentes son capaces de colaborar
con avatares controlados por humanos, facilitar la resolución de sus problemas y asegurar que
todas sus acciones se adhieren de forma estricta a las normas sociales de la institución.
Para ello, hemos desarrollado un modelo general de agente virtual que permite situar a un agente
en un mundo virtual normativo, generar sus propios objetivos en función de sus necesidades
fisiológicas y psicológicas, así como generar dinámicamente los planes para satisfacer estos
objetivos mediante la especificación institucional subyacente.
Para ilustrar la utilidad de los métodos y técnicas desarrolladas en esta tesis, hemos aplicado éstas
al campo de la simulación histórica, recreando la vida de la ciudad de Uruk. Hemos mostrado cómo
nuestro enfoque permite crear un gran número de agentes diversos tanto en aspectos visuales
como de comportamiento, así como la generación dinámica de los alimentos, herramientas y otros
elementos que se utilizan para satisfacer sus objetivos, mientras actúan de forma correcta,
históricamente hablando.This thesis advocates the use of non-‐gaming virtual worlds as a significant future technology for the domain of ``serious games’’ and in particular e-‐* applications (e-‐ learning, e-‐commerce, e-‐government) and social simulations. In such systems, a 3D virtual environment is populated by a large number of inhabitants that can be either human-‐ controlled avatars or intelligent virtual agents who engage in complex interactions with their virtual environment and other participants. One significant problem that impedes wide adoption of the virtual worlds technology for these problem domains is that virtual worlds in general are difficult to build, and significant effort has to be put into designing the 3D virtual environment and programming virtual agents; but it is even harder to ensure the validity of participant so that unauthorized behavior can be prevented. To address this problem, we have developed a comprehensive technological solution that automates the design of such virtual worlds and its population with virtual agents. Our approach is based on the utilization of virtual institutions, which are virtual worlds with normative regulation of participant interactions. The key focus of the thesis is on explaining how existing methods of formal specification of virtual institutions can be extended to automatically translate the institutional specification into an interactive 3D environment using the shape grammars approach and automatically populating such environments with virtual agents. Shape grammars represent a powerful visual technique for creating procedural 2D and 3D designs, but existing work was not immediately suitable for our problem. Thus, we have extended existing work and developed the Shape Grammar Interpreter framework, which addresses the limitations of existing solutions. This framework was further utilized for developing the concept of Virtual World Grammar, which is a sub-‐set of shape grammars targeting automatic generation of normative virtual worlds. As the result of this dissertation, Virtual Worlds Grammars constitute a strong formalization and a development environment not only enabling automatic generation of normative virtual worlds, but also their platform independent deployment (using the VIXEE infrastructure that has been developed as an important part of this dissertation). Another significant contribution of this thesis is developing a mechanism of automatic population of the generated environments with large numbers of software agents, which are capable of intelligent interactions with 3D objects placed in the environment. Moreover, these agents are able to collaborate with human-‐controlled avatars, facilitate their problem-‐solving and ensure that all their actions strictly adhere to social norms of the given institution. For this purpose, we have developed a general-‐purpose virtual agent model that enables an agent to be situated within any normative virtual world, generate its own goals based on its current physiological and psychological needs, as well as to dynamically generate plans for satisfying these goals using the underlying institutional specification. To illustrate the usefulness of the developed technology, we have applied it to the domain of historical simulation, where we show how virtual world grammars and automatically generated virtual agents can be used for re-‐enacting everyday life of ancient people in one of humanity's first cities, the city of Uruk. We showed how our approach allows to create a large number of visually and behaviorally diverse agents, as well as dynamically generating food, tools and other items that they can utilize to satisfy their goals, while acting in a historically correct way.
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Qi, Dehu. "Multi-agent systems : integrating reinforcement learning, bidding and genetic algorithms /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060133.
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Akcay, Bugrahan. "An Agent-based Alert Distribution System For Intelligent Healthcare Monitoring." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607257/index.pdf.
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With the high-level developments in the information technologies, there is a big
movement in the e-health area both to give better healthcare services and to
reduce cost. Monitoring the patients from their home location is one of the
important branches of e-health with the aging societies. In this work, an agentbased
alert system is introduced which analyzes the alert message requests and
sends the alert messages within the appropriate structure and communication
channel to the related healthcare user. A guideline execution system produces
the alert requests based on sensor data and informs the alert agents.
A multi-agent platform is developed which proactively sends the alert messages
on behalf of the system with acknowledgement and message routing abilities.
The multi-agent platform has patient alert agents for each patient in the system.
A rule engine is cooperated with agents for the analysis of the alert message
requests to bind these requests with the healthcare user specifications. E-mail
messaging, SMS and MSN Instant messaging are used to reach the healthcare users. Additionally, web-based user interfaces are developed for healthcare users
to manage the alert system for intelligent healthcare monitoring by specifying
alert message receiving rules, personal and contact information, and some more
additional options.
The work presented in this thesis is realized as a part of the SAPHIRE project
funded by the European Commission.
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Chen, Wei. "System integration: Application of Web-based DBMS and intelligent agent." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6350.
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Considering the redundancy and the irrelevancy of current search engines in the World Wide Web (WWW), this thesis explores an alternative web-based method of Internet search and retrieval of information via an Intelligent Agent. The Intelligent Agent retrieves the information back to users and it inserts this information automatically into the users' database. There are three components in this system: (1) Multiple User Dungeon (MUD) as a front end, (2) dynamic database management system, and (3) Intelligent Agent as a back end. The front end is a web site open to all the users of this system. It allows different users to access the system simultaneously from different PCs inside the same Intranet. The DBMS database system is designed using Microsoft Access. It is the reservoir of all the data. It provides information to the front end when the users query the database. Intelligent agent (back-end) is implemented using Visual C++ 6.0. It takes advantage of the technique of Open Database Connectivity (ODBC) to connect to the DBMS. The Intelligent Agent searches the Internet through the search engine of Google and then inserts the records into the database based on the user preference. The Intelligent Agent can also update the database by deleting the obsolete records automatically. In order to test and implement this application system, it is applied two business cases: (1) Fisheries Resource Conservation Council (FRCC) and (2) Sport Utility Vehicle (SUV) database system. DBMS and back-end are transparent to users. Users simply need to manipulate the front end interface that links the user to all database review and modification functions, as well as to the search and automatic retrieval options. Results of the implementation of the applications are presented and future research applications for Internet information search and retrieval processes are discussed.
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Gunetti, Paolo. "An intelligent agent based autonomous mission management system for UAVs." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548379.
Full text
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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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Hege, Phillip Gabriel. "Developing a generalized intelligent agent by processing information on webpages." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113148.
Full textAbstract:
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 41).
In this thesis, I designed and implemented a framework for reinforcement learning (RL) agents to interact with a web environment. With this framework, I introduce a new challenge for RL agents to learn human activity on the web. By defining a series of tasks such as using the web as a navigable resource to perform actions, I introduce an extension to natural language processing models. The framework provides an agent with rich features including element positioning, color, and size in order to process text represented in a 2D web space..
by Phillip Gabriel Hege.
M. Eng.
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Fowler, Michael C. "Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97996.
Full textAbstract:
This dissertation addresses a fundamental question of multi-agent coordination: what infor- mation should be sent to whom and when, with the limited resources available to each agent? Communication requirements for multi-agent systems can be rather high when an accurate picture of the environment and the state of other agents must be maintained. To reduce the impact of multi-agent coordination on networked systems, e.g., power and bandwidth, this dissertation introduces new concepts to enable Intelligent Knowledge Distribution (IKD), including Constrained-action POMDPs (CA-POMDP) and concurrent decentralized (CoDec) POMDPs for an agnostic plug-and-play capability for fully autonomous systems.
Each agent runs a CoDec POMDP where all the decision making (motion planning, task allocation, asset monitoring, and communication) are separated into concurrent individual MDPs to reduce the combinatorial explosion of the action and state space while maintaining dependencies between the models. We also introduce the CA-POMDP with action-based constraints on partially observable Markov decision processes, rewards driven by the value of information, and probabilistic constraint satisfaction through discrete optimization and Markov chain Monte Carlo analysis. IKD is adapted real-time through machine learning of the actual environmental impacts on the behavior of the system, including collaboration strategies between autonomous agents, the true value of information between heterogeneous systems, observation probabilities and resource utilization.Doctor of Philosophy
This dissertation addresses a fundamental question behind when multiple autonomous sys- tems, like drone swarms, in the field need to coordinate and share data: what information should be sent to whom and when, with the limited resources available to each agent? Intelligent Knowledge Distribution is a framework that answers these questions. Communication requirements for multi-agent systems can be rather high when an accurate picture of the environment and the state of other agents must be maintained. To reduce the impact of multi-agent coordination on networked systems, e.g., power and bandwidth, this dissertation introduces new concepts to enable Intelligent Knowledge Distribution (IKD), including Constrained-action POMDPs and concurrent decentralized (CoDec) POMDPs for an agnostic plug-and-play capability for fully autonomous systems. The IKD model was able to demonstrate its validity as a "plug-and-play" library that manages communications between agents that ensures the right information is being transmitted at the right time to the right agent to ensure mission success.
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"Agents, agent architectures and multi-agent systems." Thesis, 2010. http://hdl.handle.net/10210/3262.
Full textAbstract:
M.Sc.The use of computer systems has changed over the years. Modern computer systems operate in an environment that is open, distributed and heterogeneous. They have the capability of locating information stored in remote locations and satisfying the interests and objectives of different users. However, the increase in user demands and the complexity of computers and information systems has caused research to focus on multi-agent systems as a solution to address these demands and complexities. The dissertation deals with the study of single agents and multi-agent systems. The study focuses on the concepts of agents, agent architecture and multi-agent systems. In addition to the study, a taxonomy for specialised agents is proposed. The taxonomy aims at classifying agent-based systems applied in the industry for addressing specific problems. In order to achieve this, a broad survey on agent-based systems in the industry was conducted. The areas under considerations were the financial, health, agricultural, aviation and the information technology sectors. The following dimensions were used to identify the agents in the specific area: • Which application domain is the multi-agent system designed for, developed and deployed in? • What is the specific task or problem the agents are designed to solve? • Do the agents have core or advanced agent attributes in general? The taxonomy is important because agent-based systems are becoming common in the industry and are suitable to address issues (such as locating distributed information and addressing specific needs of computer system users) of open, distributed and heterogeneous computer environments.
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Hurwitz, Evan. "Multi-agent modelling using intelligent agents in competitive games." Thesis, 2008. http://hdl.handle.net/10539/5755.
Full textAbstract:
Summary
Multi-Agent systems typically utilise simple, predictable agents. The usage of such agents
in large systems allows for complexity to be achieved through the interaction of these
agents. It is feasible, however, to utilise intelligent agents in smaller systems, allowing for
more agent complexity and hence a higher degree of realism in the multi-agent model. By
utilising the TD( ) Algorithm to train feedforward neural networks, intelligent agents
were successfully trained within the reinforcement learning paradigm. A methodology for
stabilising this typically unstable neural network training was found through first looking
at the relatively simple problem of Tic-Tac-Toe. Once a stable training methodology was
arrived at, the more complex task of tackling a multi-player, multi-stage card-game was
tackled. The results illustrated that a variety of scenarios can be realistically investigated
through the multi-agent model, allowing for solving of situations and better
understanding of the game itself. Yet more startling, owing to the agent’s design, the
agents learned on their own to bluff, giving much greater insight into the nature of
bluffing in such games that lend themselves to the act.
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Rodic, Daniel. "Intelligent Distributed Agent Based Architecture." Thesis, 2005. http://hdl.handle.net/2263/28610.
Full textAbstract:
This thesis presents work done on the development of a multi-agent system architecture that facilitates coordination and a novel social networks based approach to coordination. The field of multi-agent system research is undergoing tremendous expansion and it would be impossible to address all the issues related to the field. Instead, this thesis focuses on the coordination aspect of multi-agent systems. The architecture presented here is named the INtelligent Distributed Agent Based Architecture, INDABA. INDABA, as a hybrid agent architecture, combines the sub-symbolic knowledge representation layered architecture with a symbolic layer that allows for deliberative reasoning and learning. INDABA also introduces a layer that facilitates coordination in a society of agents, namely the interaction layer. The new approach to coordination was inspired by social networks, as observed in higher mammalian societies. Two social relationships were explored, namely kinship and trust. Coordination is achieved through team selection. Using characteristics of social networks, such as learning and the ability to deal with uncertainties, the best team is selected for task execution. The experiments conducted for the purpose of this thesis were done on three levels. Firstly, an abstract simulated environment was created where a society of a large number of agents could be observed. Secondly, experiments were done in a more realistic simulated robot environment. The last set of experiments was done in a real-world environment, with the implementation of INDABA in embodied mobile agents (robots). The experiments have confirmed the applicability of INDABA as an agent architecture, as well as the validity of the social networks coordination approach.Thesis (PhD (Computer Science))--University of Pretoria, 2006.
Computer Science
unrestricted
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Tzeng, Tzong-Shyan, and 曾宗賢. "Intelligent Agent for Knowledge Community." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/51544327019989442855.
Full textAbstract:
碩士真理大學
管理科學研究所
90
The concept of Knowledge Community has been applied to some knowledge management. By sharing and interchanging information with others, users are able to learn from peers and thus enhance the reusability and potential value of information. The proposed concept in our research called “Intelligent Agent for Knowledge Community”, it help the enterprise to develop Knowledge Community. When a user issue a question, Dynamic Knowledge Community Agent automatic analyzed the question then recruited suitable experts and users. And we propose to employ new data mining methodology to discover user’s need dynamically in circulation database.We establish a prototype system based on “Intelligent Agent for Knowledge Community”. And we interview the postgraduates for investigating the benefits and drawbacks of the prototype system. The results show that Dynamic Knowledge Community Agent does have improvement over user satisfaction.
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Lâm, Dũng Ngọc 1977. "Agent software comprehension : explaining agent behavior." Thesis, 2005. http://hdl.handle.net/2152/2256.
Full textAbstract:
It is important for designers, developers, and end-users to comprehend (or explain) why a software agent acts in a particular way when situated in its operating environment. Comprehending agent behaviors in an agent-based system is a challenging task due to environmental uncertainty and the dynamics and multitude of agent interactions, which must be captured, processed, and analyzed by the human user. While traditional software comprehension answers "what is happening in the implementation?", this research takes a step further to facilitate comprehension by answering "why is the behavior happening in the implementation?". To explain agent behaviors in the implemented system, this research takes the model-checking approach for representing abstracted software behavior and the reverse engineering approach for verifying the expected behavior model against the implementation's actual behavior, while assimilating the terminology and framework from abductive reasoning. This research empirically shows that maintaining accurate background knowledge of how the implementation is expected to behave is crucial in generating accurate explanations of agent behavior. The resulting Tracing Method and accompanying Tracer Tool build on ideas from existing approaches and extend the state-of-the-art to better assist human users (of various skill levels) in comprehending agent-based software by automating many reasoning tasks. The Tracing Method is applied to two domains to demonstrate the capabilities of the Tracer Tool in (1) suggesting background knowledge updates, (2) interpreting actual behaviors from implementation executions, and (3) explaining observed agent behaviors. This research aims to help designers who want to improve agent behavior; developers who need to debug and verify agent behavior; and end-users who want to comprehend agent behaviors.text
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Gaha, Mohamed. "Réalisation d'un agent tuteur intelligent conscient." Mémoire, 2008. http://www.archipel.uqam.ca/1415/1/M10419.pdf.
Full textAbstract:
Pour améliorer le rendement des STI, de nombreux investissements matériels et immatériels ont été faits (Starkman, 2007). Cependant, les STI demeurent complexes et leur implémentation coûteuse (Aleven, 2006). En effet, plus l'apprentissage dispensé par le STI est personnalisé, plus le traitement computationnel est complexe. Réaliser et finaliser un STI capable d'évoluer de manière autonome dans un environnement complexe et riche en informations serait d'un grand intérêt. C'est à cette délicate réflexion que s'attaque mon mémoire. Tout su long de mon mémoire je présente un agent tuteur cognitif nommé CTS. Il repose sur une architecture semblable à un modèle psychologique de la conscience humaine. CTS cherche à simuler le fonctionnement de la conscience et ainsi tirer profit des phénomènes lui affairant. L'hypothèse de base est que les mécanismes de la conscience peuvent conférer au STI un comportement lui permettant de mieux gérer la complexité liée à l'environnement afin de prendre les décisions tutorielles de bonne qualité lors d'une séance d'entraînement à l'usage du bras. ______________________________________________________________________________ MOTS-CLÉS DE L’AUTEUR : Agent cognitif, Conscience, Réseau des actes, Microprocessus.
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CHEN, JUN LONG, and 陳俊隆. "A Multiagent-based Intelligent Instruction Agent." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/78940750376231404282.
Full textAbstract:
碩士逢甲大學
資訊工程學系
88
There are several decades of research in the Computer Assisted Instruction (CAI) and Hypermedia System (HMS). However, there is little progress on adaptive and personal instruction policy and navigation method in the general hypermedia instruction systems. In another word, the characters of the learner in the study and navigation process were not considered. Therefore, the learner may encounter difficulties such as misconception, disorientation and increases cognition overload during the study period, and not only to waste the learning time but also reduce the efficiency. Consequently, we propose a multi-agent architecture that is Intelligent Instruction Agent (IIA). IIA can simulates the teaching behaviors of the teacher which include observe the student''s learning behaviors, to analysis the student''s idiosyncrasy, to recommend the learning materials to student, to guide the student''s navigation, to modify and to adjust the instruction policy. IIA can be divided into Character Analysis Agent, Policy Agent and Navigation Agent that depends on responsibility and task of the subagent. Consequently IIA can overcomes navigation and learning problems in the hypermedia environment by collaboration of these subagents. The Character Analysis Agent can analysis the characters of the learner, while the Policy Agent can selected a Navigation Agent from the set of the navigation strategies and an instruction policy. To design IIA there are two important factors. The first is the intelligence of each subagent. In another word, that is the contents of the specialist database. The second factor is the appropriate of the inference rule of each subagent. However these factors has not yet been fully studied. For this reason, the system also provides an interface for the specialist to add or modify the knowledge database. We expect to offer a personal and adaptive environment by this instruction agent, and to assist learner''s study properly and efficiently. Moreover, we expect to reduce the problems of misconception and disorientation to decrease the cognition overload. On the other hand, we hope to evaluate the multi-agent theory and technology can help and apply to the complex intelligent systems efficiently. This system is only a prototype and there is a lot room to improve it especially the content of knowledge database for every agent.
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Chen, Chien-Ming, and 陳建銘. "Intelligent Browsing Agent over the Website." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/69892984544961207185.
Full textAbstract:
碩士淡江大學
資訊工程學系
88
The internet enables a computer user to be connected to virtually endless numbers of sites on the network. Massive amount of information is being pumped into the internet at a great rate around the clock. The World-Wide-Web (WWW) uses the internet to transmit hypermedia documents between computer users located around the world. Computer users only use a simple browser software (ie: Internet Explorer, Netscape) to view the hypermedia documents on a website. Large amount of interesting and valuable information has been made available on the web for retrieval, but these hypermedia documents are not often origanized and systematic. In order to fully utilize the power of the WWW as a gigantic information source, it is essential to develop intelligent software systems on top of the web to assist users to retrieve relevant documents. In this paper, we propose an architecture of the intelligent browsing agent and identify the key components of it. This agent is designed on a website and serves its members. This intelligent browsing agent can analyze the users` browsing behaviors to find their interesting topics and browsing patterns. Then it can assist users to browse the website by recommend users` interesting documents. In addition to, the agent can monitor to new information on the website to find any documents which users interest. If the agent find new information which users interest, it can ask the users to browse the website by e-mail. So the intelligent browsing agent can help the website to keep old browsing users and attract new people to visit the website.
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Lopes, António Luís Morais Costa da Silva. "Distributed coordination in unstructured intelligent agent societies." Doctoral thesis, 2010. http://hdl.handle.net/10071/2835.
Full textAbstract:
Current research on multi-agent coordination and distributed problem
solving is still not robust or scalable enough to build large real-world
collaborative agent societies because it relies on either centralised components
with full knowledge of the domain or pre-defined social structures.
Our approach allows overcoming these limitations by using
a generic coordination framework for distributed problem solving on
totally unstructured environments that enables each agent to decompose
problems into sub-problems, identify those which it can solve
and search for other agents to delegate the sub-problems for which it
does not have the necessary knowledge or resources. Regarding the
problem decomposition process, we have developed two distributed
versions of the Graphplan planning algorithm. To allow an agent
to discover other agents with the necessary skills for dealing with
unsolved sub-problems, we have created two peer-to-peer search algorithms
that build and maintain a semantic overlay network that
connects agents relying on dependency relationships, which improves
future searches. Our approach was evaluated using two different scenarios,
which allowed us to conclude that it is efficient, scalable and
robust, allowing the coordinated distributed solving of complex problems
in unstructured environments without the unacceptable assumptions
of alternative approaches developed thus far.As abordagens actuais de coordenação multi-agente e resolução distribuída de problemas não são suficientemente robustas ou escaláveis para criar sociedades de agentes colaborativos uma vez que assentam ou em componentes centralizados com total conhecimento do domínio ou em estruturas sociais pré-definidas. A nossa abordagem permite superar estas limitações através da utilização de um algoritmo genérico de coordenação de resolução distribuída de problemas em ambientes totalmente não estruturados, o qual permite a cada agente decompor problemas em sub-problemas, identificar aqueles que consegue resolver e procurar outros agentes a quem delegar os subproblemas para os quais não tem conhecimento suficiente. Para a decomposição de problemas, criámos duas versões distribuídas do algoritmo de planeamento Graphplan. Para procurar os agentes com as capacidades necessárias à resolução das partes não resolvidas do problema, criámos dois algoritmos de procura que constroem e mantêm uma camada de rede semântica que relaciona agentes dependentes com o fim de facilitar as procuras. A nossa abordagem foi avaliada em dois cenários diferentes, o que nos permitiu concluir que ´e uma abordagem eficiente, escalável e robusta, possibilitando a resolução distribuída e coordenada de problemas complexos em ambientes não estruturados sem os pressupostos inaceitáveis em que assentava o trabalho feito até agora.
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Kaiser, Ren��. "An intelligent agent architecture platform for intelligent simulation of manufacturing systems." Thesis, 1996. http://hdl.handle.net/1957/33960.
Full textAbstract:
Traditional simulation tools, such as simulators and simulation languages do not support intelligent simulation output analysis and offer little - or no - features to model intelligence within a system. However, in a modern manufacturing environment we often find ourselves facing high flexibility requirements and the need for quick response. We find an increasing number of artificial Intelligence (AI) applications on the shop floor and the need to figure out what is going on in our system - now, not later.
Simulation is one tool which is useful to analyze manufacturing systems and make decisions based on the findings. Thus, it is desirable to be able to represent the intelligence we find on the shop floor in our simulation model, as well as an automated output analysis in order to speed up the decision making process.
This paper describes the conceptual design and implementation of an AI architecture with the aim to offer a platform where both aspects, representation of intelligence in the system and outside the system (output analysis) can be performed. The architecture is based on Wang's extension (1995) of the simulation environment by Beaumariage (1990) which is implemented in an object-oriented environment. The object-oriented environment also offers an excellent means for implementing the Al architecture. To verify its usefulness two areas of application - priority sequencing at servers and material release - were implemented and several case studies carried out.Graduation date: 1997
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Liang, Chien-Tsun. "An object oriented intelligent agent simulation environment." Thesis, 1996. http://hdl.handle.net/1957/34087.
Full textAbstract:
Manufacturing intelligent agent simulation has not been
widely applied in industry because of its application
complexity. This complexity, which includes choosing
priority machines or jobs, determining machine maintenance
schedules, and allocating working shifts and breaks,
requires intelligent decision making. Manufacturing systems
are strongly influenced by intelligent decision makers.
Especially for a fixed manufacturing layout, system
performance improvement depends on intelligent manufacturing
decision making. As a result, a manufacturing simulation can
not be truly complete if intelligent decision making
processes are not represented. This thesis describes an
architecture which includes the representation of
intelligent agents in manufacturing simulation model.
An intelligent agent simulation environment (IASE) is
developed under the concepts of distributed artificial
intelligence and object oriented methodology. As an
extension to an existing simulation environment, IASE
inherits primary manufacturing simulation elements and
material handling systems from object oriented manufacturing
architecture (Beaumariage, 1990) and AGV simulation system
(Beaumariage and Wang, 1995). In IASE, production operators,
maintenance technicians and job releasers are created to
represent manufacturing intelligent agents. Several basic
elements such as the blackboard structure and knowledge base
for supporting intelligent agent simulation are also
developed. In contrast to traditional simulation
environments designed for and in procedural programming
languages, future extensions or modifications for IASE are
eased since IASE is developed in an object oriented fashion.
This paper introduces IASE structure both in the
conceptual design and implementation methodology levels. At
the end, two case studies are performed. The first case
study is to verify IASE's implementation and results by
comparing it with a model developed in SLAM II. The second
case study, a mixed intelligent agent decision making
example, demonstrates the intelligent agent simulation
ability of IASE.Graduation date: 1997
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Yu-Shian, Chen, and 陳俞先. "Intelligent Negotiation strategy based on Agent technology." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/14910419642236354121.
Full textAbstract:
碩士淡江大學
資訊工程學系
89
With the growth of the electronic commerce on the internet, people can easily get product information, such as features, evaluation, and price. The useful information can help consumers to find the suitable merchandises. However, people often waste a lot of time to complete the transaction. Due to this reason, our proposal is to bring up a negotiation strategy to complete the trade in an effective time. The purchasers require to offer the degree of favorite and the range of the price. Using these parameters, the benefits of users are to save their money and gain their best choices in a short time. This process is called intelligent agent’s negotiation. Today, researchers use many negotiation strategies, including Game Theory and Decision Making. Our strategy can help consumer to purchase goods on the Internet conveniently. We wish this project can not only to be used on general site but also to be applied in a group auction. In the future, this strategy could be more full-fledged suitable for the user’s demand.
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Chen, Yu-Shian, and 陳俞先. "Intelligent Negotiation Strategy Based on Agent Technology." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/13386742973085210682.
Full textAbstract:
碩士淡江大學
資訊工程研究所
89
With the growth of the electronic commerce on the internet, people can easily get produce information, such as features, evaluation , and price. The useful information can help consumers to find the suitable merchandises. Howerver, people often waste a lot of time to complete the transaction. Due to this reason, our proposal is to bring up a negotiation strategy to complete the trade in an effective time. The purchasers require to offer the degree of favorite and the range of the price. Using these parameters, the benefits of users are to save their money and gain their best choices in a short time. This process is called intelligent agent''s negotiation. Today, researchers use many negotiation strategies, including Game Theory and Decision Making. Our strategy can help consumer to purchase goods on the Internet conveniently. We wish this proiect can not only to be used on general site but also to be applied in a group auction. In the future, this strategy could be more full-fledged suitable for the user''s demand.