Engineering Intelligent Hybrid Multi-Agent Systems

Name: Engineering Intelligent Hybrid Multi-Agent Systems
Brand: Springer, Berlin
SKU: 9780792399827
Price: 61830 HUF
Availability: InStock

Szerző: Rajiv Khosla

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten alacsony példányszámban

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Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Inc...

Információk a könyvről

Szerző

Rajiv Khosla

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1997

oldal

410

EAN

9780792399827

ISBN

079239982X

Enbook ID

01398571

Kiadó

Springer, Berlin

Súly

891

Méretek

155 x 235 x 23

Teljes leírás

Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. §The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. §An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. §Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

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Engineering Intelligent Hybrid Multi-Agent Systems

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