- Category:
- AI-NN-PR
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- File Size:
- 6.36mb
- Update:
- 2012-11-26
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- Uploaded by:
- gaojianrui88
Description: The theory and techniques in mufti-agent system can be used as a novel method to analyze, design and implementation distributed open system. However, with the rapidly development of relational fields, the environment where mufti-agent systems operates in becomes more and more large, open, dynamic and uncertain. In order to adapt to complicated environment, it s urgent to introduce learning mechanism into
mufti-agent system, and build intelligent agent with self-learning ability by techniques from artificial intelligence. Learning task of mufti-agent system includes learning knowledge for decision support from data and information accumulated by machine learning methods, and game learning for establishing rules of mufti-agent collaboration, correspondence and competition. Therefore, researching machine learning and game learning methods is very important to evelopment of mufti-agent system learning.
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- [moulationclassification] - Modulation recognition: Based on decisio
- [MITgametheory] - Game Theory MIT teaching materials, a de
- [lifa] - Consider a queuing system, customers arr
- [Boosting_tutorial] - Tutorial for Boosting algorithm by Schap
- [GT] - Use game theory to power control analysi
- [bookTrading] - JADE example—bookTrading
- [ear6] - FACE AND EAR FUSION RECOGNITION BASED ON
- [ddd] - Information fusion is a holistic concept
- [Q] - q-learning algirethem
- [Jason-1.3] - mas(multy agent system) devolopment
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机器学习及其在多Agent对策学习中的应用研究.nh
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