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Hardcover. Condizione: Very Good. No Jacket. Hardcover 2005 library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good condition. Series: Lecture Notes in Artifical Intelligence, 3371. [x, 328 p. : ill. ; 24 cm].

Condizione: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Autonomousagentsandmulti-agentsystemsarecomputationalsystemsinwhich several (semi-)autonomous agents interact with each other or work together to performsomesetoftasksorsatisfysomesetofgoals.Thesesystemsmayinvolve computational agents that are homogeneous or heterogeneous,they may involve activities on the part of agents having common or distinct goals, and they may involve participation on the part of humans and intelligent agents. ThisvolumecontainsselectedpapersfromPRIMA2004,the 7thPaci cRim InternationalWorkshoponMulti-agents,heldinAuckland,NewZealand,during August8 13,2004in conjunctionwith the8thPaci cRim InternationalConf- ence on Arti cial Intelligence (PRICAI 2004). PRIMA is a series of workshops on autonomous agents and multi-agents that focusses on the research activities in the Asian and Paci c Rim countries. PRIMA 2004 was built upon the great successes of its predecessors. Fifty-two papers were submitted to the workshop, each paper was reviewed by three internationally renowned program committee members. After careful review, 24 papers were selected for this volume. We would like to thank all the authors who submitted papers to the workshop. We would also like to thank all the program committee members for their diligent work in reviewing the papers.Wewouldliketothankourinvitedspeakers,SandipSenandToruIshida. Additionally, we thank the editorial sta of Springer for publishing this volume in the series Lecture Notes in Arti cial Intelligence. Lastly, we want to thank our sponsors, the Auckland University of Technology s Knowledge Engineering and Discovery Research Institute (KEDRI), and the University of Auckland s Department of Computer Science, for the nancial support provided.

Condizione: New.

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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

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Condizione: New. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Editor(s): Angelov, Plamen; Filev, Dimitar P.; Kasabov, Nikola K. Series: IEEE Press Series on Computational Intelligence. Num Pages: 444 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 158 x 29. Weight in Grams: 780. . 2010. 1st Edition. Hardcover. . . . .

Hardcover. Condizione: Brand New. 1st edition. 444 pages. 9.41x6.46x1.18 inches. In Stock.

Hardcover. Condizione: new. Hardcover. From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Editor(s): Angelov, Plamen; Filev, Dimitar P.; Kasabov, Nikola K. Series: IEEE Press Series on Computational Intelligence. Num Pages: 444 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 158 x 29. Weight in Grams: 780. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardback. Condizione: New. From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

Hardcover. Condizione: new. Hardcover. From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A Combined System for Update Logic and Belief Revision.- Using Messaging Structure to Evolve Agents Roles in Electronic Markets.- Specifying DIMA Multi-agents Models Using Maude.- picoPlangent: An Intelligent Mobile Agent System for Ubiquitous Computing.- A.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Combined System for Update Logic and Belief Revision.- Using Messaging Structure to Evolve Agents Roles in Electronic Markets.- Specifying DIMA Multi-agents Models Using Maude.- picoPlangent: An Intelligent Mobile Agent System for Ubiquitous Computing.- An Approach to Safe Continuous Planning.- Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback.- Price Determination and Profit Sharing for Bidding Groups in Agent-Mediated Auctions.- Agent Based Risk Management Methods for Speculative Actions.- Handling Emergent Resource Use Oscillations.- The Role of Agents in Intelligent Mobile Services.- A Trust/Honesty Model in Multiagent Semi-competitive Environments.- An Image Annotation Guide Agent.- A Dedicated Approach for Developing Agent Interaction Protocols.- Introducing Participative Personal Assistant Teams in Negotiation Support Systems.- A Distributed Workflow System with Autonomous Components.- Evaluation of a Multi-agent Based Workflow Management System Modeled Using Coloured Petri Nets.- Supporting Impromptu Coordination Using Automated Negotiation.- Specification and Design of Multi-agent Applications Using Temporal Z.- Bio-inspired Deployment of Distributed Applications.- How Agents Should Exploit Tetralemma with an Eastern Mind in Argumentation.- Agent-Based Support System for Project Teaming for Teleworkers.- An Interface Agent for Wrapper-Based Information Extraction.- Building Web Navigation Agents Using Domain-Specific Ontologies.- Agent-Based System for Confirming User Appointment Through SMS Callback URL Push.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.