Software Agents And Soft Computing


Software Agents And Soft Computing pdf

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Software Agents and Soft Computing: Towards Enhancing Machine Intelligence


Software Agents and Soft Computing: Towards Enhancing Machine Intelligence

Author: Hyacinth S. Nwana

language: en

Publisher: Lecture Notes in Artificial Intelligence

Release Date: 1997-01-22


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This carefully arranged book is mainly based on work done by the Intelligent Systems Research Group at BT Laboratories, essentially in cooperation with internationally leading scientists from outside BT. It opens with a detailed introduction surveying the area and putting the work presented in context. Conceptual issues surrounding intelligent agents and multi-agent systems are investigated and the practical and industrial applicability of this exciting new technology is demonstrated. One section is devoted to the rationale, philosophy, and techniques of the emerging area of soft computing. The final section outlines the broader context in dealing with machine intelligence in general and intelligent software systems in particular.

Software Agents and Soft Computing


Software Agents and Soft Computing

Author: H. S. Nwana

language: en

Publisher:

Release Date: 2014-09-01


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Soft Computing Agents


Soft Computing Agents

Author: Salvatore Sessa

language: en

Publisher: Physica

Release Date: 2013-03-20


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In the existing literature the intersection of agent technology with soft computing is a very recent and attractive issue. The book is devoted to a unifying perspective of this topic. In contains contributions by well-known authors whose expertise is universally recognized in these crossing areas. Particular emphasis is devoted to advanced research projects involved with Web-related technologies. Fundamental topics explored in this volume are: - formal theories and logics to represent and handle imprecise communication acts among communities of agents; - soft-computing approaches to define distributed problem-solving techniques to represent and reason about large-scale control systems; - decomposition of a complex system into autonomous or semiautonomous agents through evolutionary models; - enrichment of agent programming paradigm for cooperative soft-computing processing.