Overview
- Authors:
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Nikhil Ichalkaranje
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Knowledge-Based Intelligent, Engineering Systems Centre, School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia
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Lakhmi C. Jain
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Knowledge-Based Intelligent, Engineering Systems Centre, School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia
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Rajiv Khosla
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Business Systems and Knowledge, Modelling Laboratory, School of Business, La Trobe University, Melbourne, Australia
- The latest trends in design and evolution of agent technology
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
Pages i-xvii
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- Rajiv Khosla, Qiubang Li, Chris Lai
Pages 1-29
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- Sasu Tarkoma, Mikko Laukkanen, Kimmo Raatikainen
Pages 31-62
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- Alexander Smirnov, Mikhail Pashkin, Nikolai Chilov, Tatiana Levashova
Pages 63-101
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- Manuel Kolp, T. Tung Do, Stéphane Faulkner, T. T. Hang Hoang
Pages 103-132
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- F. Bergenti, A. Poggi, G. Rimassa, P. Turci, M. Tomaiuolo
Pages 191-214
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- N. D. Monekosso, P. Remagnino
Pages 215-238
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- A. Di Stefano, G. Pappalardo, C. Santoro, E. Tramontana
Pages 239-278
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- Eugénio Oliveira, LuÃs Nunes
Pages 279-313
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- Ladislau Bölöni, Dan Cristian Marinescu
Pages 315-353
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- Adam Szarowicz, Marek Mittmann, Jaroslaw Francik
Pages 355-386
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About this book
There is a tremendous interest in the design and applications of agents in virtually every area including avionics, business, internet, engineering, health sciences and management. There is no agreed one definition of an agent but we can define an agent as a computer program that autonomously or semi-autonomously acts on behalf of the user. In the last five years transition of intelligent systems research in general and agent based research in particular from a laboratory environment into the real world has resulted in the emergence of several phenomenon. These trends can be placed in three catego ries, namely, humanization, architectures and learning and adapta tion. These phenomena are distinct from the traditional logic centered approach associated with the agent paradigm. Humaniza tion of agents can be understood among other aspects, in terms of the semantics quality of design of agents. The need to humanize agents is to allow practitioners and users to make more effective use of this technology. It relates to the semantic quality of the agent design. Further, context-awareness is another aspect which has as sumed importance in the light of ubiquitous computing and ambi ent intelligence. The widespread and varied use of agents on the other hand has cre ated a need for agent-based software development frameworks and design patterns as well architectures for situated interaction, nego tiation, e-commerce, e-business and informational retrieval. Fi- vi Preface nally, traditional agent designs did not incorporate human-like abilities of learning and adaptation.
