Design of Intelligent Multi-Agent Systems

1. Front Matter

   Pages i-xvii

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2. Humanization of Soft Computing Agents

   • Rajiv Khosla, Qiubang Li, Chris Lai

   Pages 1-29

3. Software Agents for Ubiquitous Computing

   • Sasu Tarkoma, Mikko Laukkanen, Kimmo Raatikainen

   Pages 31-62

4. Agents-Based Knowledge Logistics

   • Alexander Smirnov, Mikhail Pashkin, Nikolai Chilov, Tatiana Levashova

   Pages 63-101

5. Architectural Styles and Patterns for Multi-Agent Systems

   • Manuel Kolp, T. Tung Do, Stéphane Faulkner, T. T. Hang Hoang

   Pages 103-132

6. Design and Behavior of a Massive Organization of Agents

   • Alain Cardon

   Pages 133-190

7. Developing Agent-Based Applications with JADE

   • F. Bergenti, A. Poggi, G. Rimassa, P. Turci, M. Tomaiuolo

   Pages 191-214

8. A Collective Can Do Better

   • N. D. Monekosso, P. Remagnino

   Pages 215-238

9. Coordinating Multi-Agent Assistants with an Application by Means of Computational Reflection

   • A. Di Stefano, G. Pappalardo, C. Santoro, E. Tramontana

   Pages 239-278

10. Learning by Exchanging Advice

    • Eugénio Oliveira, Luís Nunes

    Pages 279-313

11. Adaptation and Mutation in Multi-Agent Systems and Beyond

    • Ladislau Bölöni, Dan Cristian Marinescu

    Pages 315-353

12. Intelligent Action Acquisition for Animated Learning Agents

    • Adam Szarowicz, Marek Mittmann, Jaroslaw Francik

    Pages 355-386

13. Using Stationary and Mobile Agents for Information Retrieval and E-Commerce

    • Samuel Pierre

    Pages 387-448

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.

• E-Commerce
• Intelligent Systems
• Mobile Agents
• Soft Computing Agents
• Software Agents Multi-Agent Systems
• Transit
• Trend
• Ubiquituous Computing
• agent technology
• architecture
• learning
• logistics
• multi-agent system
• optimization
• software agent

• Knowledge-Based Intelligent, Engineering Systems Centre, School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia

  Nikhil Ichalkaranje, Lakhmi C. Jain

• Business Systems and Knowledge, Modelling Laboratory, School of Business, La Trobe University, Melbourne, Australia

  Rajiv Khosla

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