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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Intelligence for Agent-Based Systems

Computational Intelligence for Agent-Based Systems

Lee, Raymond S. T.

Hardcover

Series: Studies in Computational Intelligence, Book 72

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 354073175X
ISBN13: 9783540731757
Publisher: Springer
Published: Aug 13 2007
Pages: 263
Weight: 1.27
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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.

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