Engineering Intelligent Hybrid Multi-Agent Systems

Preface. 1. Why Intelligent Hybrid Systems. 2. Methodologies. 3. Intelligent Fusion and Transformation Systems. 4. Intelligent Combination Systems. 5. Knowledge Discovery, Data Mining and Hybrid Systems. 6. Association Systems - Task Structure Level Associative Hybrid Architecture. 7. Intelligent Multi-Agent Hybrid Computational Architecture - Part I. 8. Intelligent Multi-Agent Hybrid Computational Architecture - Part II. 9. Alarm Processing - An Application of IMAHDA. 10. Agent Oriented Analysis and Design of the RTAPS - Part I. 11. Agent Oriented Analysis and Design of the RTAPS - Part II. 12. RTAPS Implementation. 13. From Data Repositories to Knowledge Repositories. 14. IMAHDA Revisited. Appendices: A. Input Features of the Animal Domain. B. Classes in the Animal Domain. C. TTS Power Network. D. TTS Substation Power Network. E. Real Time Alarm Data. Index.

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