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Adaption and Learning in Multi-Agent Systems

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Cover of 'Adaption and Learning in Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 16 Adaptation and learning in multi-agent systems: Some remarks and a bibliography
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    Chapter 17 Refinement in agent groups
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    Chapter 18 Opponent modeling in multi-agent systems
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    Chapter 19 A multi-agent environment for department of defense distribution
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    Chapter 20 Mutually supervised learning in multiagent systems
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    Chapter 21 A framework for distributed reinforcement learning
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    Chapter 22 Evolving behavioral strategies in predators and prey
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    Chapter 23 To learn or not to learn ......
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    Chapter 24 A user-adaptive interface agency for interaction with a virtual environment
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    Chapter 25 Learning in multi-robot systems
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    Chapter 26 Learn your opponent's strategy (in polynomial time)!
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    Chapter 27 Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots
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    Chapter 28 On multiagent Q-learning in a semi-competitive domain
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    Chapter 29 Using reciprocity to adapt to others
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    Chapter 30 Multiagent coordination with learning classifier systems
Attention for Chapter 27: Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots
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