Agent-based hybrid intelligent systems : an agent-based framework for complex problem solving
Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including tr...
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| Hauptverfasser: | , |
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| Format: | Livre numérique |
| Sprache: | Anglais |
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Berlin [etc.] :
Springer
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Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in computer science. Lecture notes in artificial intelligence
2938 |
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| Edition sous un autre format: | • Agent-based hybrid intelligent systems, an agent-based framework for complex problem solving, Zili Zhang, Chengqi Zhang, Berlin, Springer, 2004, 1 vol. (XIV-196 p.), Lecture notes in computer science, 3-540-20908-5 • Agent-Based Hybrid Intelligent Systems, Texte imprimé, 9783662207321 |
Inhaltsangabe:
- Fundamentals of Hybrid Intelligent Systems and Agents
- 1 Introduction
- 2 Basics of Hybrid Intelligent Systems
- 3 Basics of Agents and Multi-agent Systems
- Methodology and Framework
- 4 Agent-Oriented Methodologies
- 5 Agent-Based Framework for Hybrid Intelligent Systems
- 6 Matchmaking in Middle Agents
- Application Systems
- 7 Agent-Based Hybrid Intelligent System for Financial Investment Planning
- 8 Agent-Based Hybrid Intelligent System for Data Mining
- Concluding Remarks
- 9 The Less the More
- Appendix: Sample Source Codes of the Agent-Based Financial Planning System
- References.