Soft computing agents. New trends for designing autonomous systems (Q5942937)
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scientific article; zbMATH DE number 1646762
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Soft computing agents. New trends for designing autonomous systems |
scientific article; zbMATH DE number 1646762 |
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Soft computing agents. New trends for designing autonomous systems (English)
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16 September 2001
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``Soft Computing Agents'' edited by Vincenzo Loia and Salvatore Sessa collects recent results in the design of knowledge-based systems realized by merging techniques derived from soft computing area with recent trends of distributed artificial intelligence. The book is devoted to give a unifying perspective on new models and architectures of distributed artificial intelligence. It covers intelligent agents as an innovative technology that has the potential to make computation models increasingly open, distributed and mobile. Contributions of the book deal with formulation of cooperative strategies, the linguistic aspects of the communication, the local decision versus the global knowledge, and the actions and plans as distributed viewpoints. All these issues have as context an variety of discourse characterized by an incomplete knowledge and by a fragmentation of locial interactions, faced often by a non-monotonic reasoning. Essentially the book adresses the following issues: human-computer interaction through fuzzy agents in the chapters written by Rocha, Damiani, Khosla, Kitjongthawonkul, Callaghan, Clarke, Colley and Hagras, evolutionary architectures for multi-agent environments in the chapters by Iba, Terano, Loia and Sessa, decomposition of complex systems into autonomous agents through the concept of granularity in the chapter by Pedrycz and Vukovich, and adaptivity and learning in multi-agent systems in the chapters by Takadama, Terano, Shimohara, Hori, Nakasuka and Franklin.
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Soft computing agents
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knowledge-based systems
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incomplete knowledge
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non-monotonic reasoning
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human-computer interaction
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fuzzy agents
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evolutionary architectures
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