Computational Intelligence for Agent-based Systems

1. Front Matter

   Pages i-xvii

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2. A Proposal of an Open Ubiquitous Fuzzy Computing System for Ambient Intelligence

   • Giovanni Acampora, Vincenzo Loia

   Pages 1-27

3. Agent-Controlled Sharing of Distributed Resources in User Networks

   • E. Costa- Montenegro, J. C. Burguillo- Rial, F. J. Gonzalez- Castano, Vales- Alonso

   Pages 29-60

4. Adding Intelligence to Ubiquitous Computing Environments

   • Hakan Duman, Hani Hagras, Victor Callaghan

   Pages 61-102

5. iJADE FreeWalker – An Intelligent Ontology Agent-based Tourist Guiding System

   • Toby H. W. Lam, Raymond S. T. Lee

   Pages 103-125

6. iJADE InfoSeeker: On Using Intelligent Context-Aware Agents for Retrieving and Analyzing Chinese Web Articles

   • Edward H. Y. Lim, Raymond S. T. Lee

   Pages 127-153

7. A Third-Generation Telecare System using Fuzzy Ambient Intelligence

   • Trevor Martin, Basim Majeed, Beum-Seuk Lee, Nick Clarke

   Pages 155-175

8. Interacting Agents in a Network for in silico Modeling of Nature-Inspired Smart Systems

   • V. K. Murthy, E. V. Krishnamurthy

   Pages 177-231

9. DigitalBeing: An Ambient Intelligence Interactive Dance Experience

   • Magy Seif El-Nasr, Thanos Vasilakos

   Pages 233-263

The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Int- ligence. We edited this book for two basic motivations: the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. Computational Intelligence has nowadays a mature formal theory and robust implementation experiences. Intelligent agents have shown their inner ability in acquiring data and knowledge from and performing appropriate de- sions through a functional relation that maps percepts to actions. Compu- tional Intelligence inside Agents are extremely helpful to support the designer of agent-based systems in treating with unknown or ill-defined envir- ments so to better handle knowledge representation and reasoning under these assumptions. The formulation of cooperative strategies, the linguistic aspects of the communication, the local decision versus the global kno- edge, the actions and plans as distributed viewpoints could be characterized by an incomplete knowledge and by a fragmentation of logical inter- tions, faced often by a non-monotonic reasoning. While building “smart” environments many challenges arises. The system needs to interact with its users in order to obtain feedback in a non-intrusive way. Explicit/implicit feedback is needed to take decisions in near-real time.

• Agent-based Systems
• agents
• artificial intelligence
• computational intelligence
• control
• fuzzy
• intelligence
• modeling
• ontology
• ubiquitous computing

• The Hong Kong Polytechnic University, Hong Kong, China

  Raymond S. T. Lee

• Universita di Salerno via Ponte don Melillo, Fisciano, Italy

  Vincenzo Loia

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