Agent-Based Hybrid Intelligent Systems: An Agent-Based by Zili Zhang, Chengqi Zhang PDF

Agent-Based Hybrid Intelligent Systems: An Agent-Based by Zili Zhang, Chengqi Zhang PDF

By Zili Zhang, Chengqi Zhang

ISBN-10: 3540209085

ISBN-13: 9783540209089

Solving advanced difficulties in real-world contexts, akin to monetary funding making plans or mining huge facts collections, includes many alternative sub-tasks, every one of which calls for diverse recommendations. to house such difficulties, an exceptional range of clever strategies can be found, together with conventional innovations like professional platforms techniques and smooth computing ideas like fuzzy common sense, neural networks, or genetic algorithms. those strategies are complementary ways to clever info processing instead of competing ones, and hence higher ends up in challenge fixing are completed while those options are mixed in hybrid clever structures. Multi-Agent platforms are ultimate to version the manifold interactions one of several varied parts of hybrid clever systems.

This e-book introduces agent-based hybrid clever structures and provides a framework and technique bearing in mind the advance of such platforms for real-world functions. The authors concentrate on functions in monetary funding making plans and knowledge mining.

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Extra resources for Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving

Sample text

They are often quick to develop, and ultimately require maintenance on only one system. Development occurs in the most appropriate environment. Similarly, the delivery technique offers operational benefits suitable to its environment. Limitations to transformational models are significant. First, a fully automated means of transforming an expert system to a neural network, or vice versa, is still needed. Also, significant modifications to the system may require a new development effort, which leads to another transformation.

HYBRID CATEGORY SELECTION Select hybrid classes Refinements IMPLEMENTATION Find best method of implementation VALIDATION Are the results correct? MAINTENANCE System monitoring Knowledge maintenance Retraining Fig. 5. Hybrid Intelligent System Development Cycle 28 2 Basics of Hybrid Intelligent Systems There are some shortcomings of the hybrid intelligent systems involved in following this development process. The most obvious one is that the organization of such a hybrid system is not adaptive.

Specifying, designing, and building fully-integrated models is complex, tools that facilitate full integration are distinctly lacking on the market, and verifying, validating, and maintaining fully-integrated systems are issues for further research and development. 2 Goonatilake’s Classification Scheme Goonatilake and Khebbal [65] point out that there are three main reasons for creating hybrid systems: technique enhancement, the multiplicity of application tasks and realizing multi-functionality.

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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving by Zili Zhang, Chengqi Zhang


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