Adaption and learning in multi-agent systems : IJCAI'95 workshop, Montréal, Canada, August 21, 1995 : proceedings
This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of curren...
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| 企業作者: | |
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| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| 叢編: | Lecture notes in computer science. Lecture notes in artificial intelligence
1042 |
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| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adaption and learning in multi-agent systems, IJCAI'95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen,(eds.), 1996, Berlin, Springer, 1 vol. (X-238 p.), Lecture notes in computer science, 3-540-60923-7 • Adaptation and Learning in Multi-Agent Systems, Texte imprimé, 9783662178409 |
書本目錄:
- Adaptation and learning in multi-agent systems: Some remarks and a bibliography
- Refinement in agent groups
- Opponent modeling in multi-agent systems
- A multi-agent environment for department of defense distribution
- Mutually supervised learning in multiagent systems
- A framework for distributed reinforcement learning
- Evolving behavioral strategies in predators and prey
- To learn or not to learn ......
- A user-adaptive interface agency for interaction with a virtual environment
- Learning in multi-robot systems
- Learn your opponent's strategy (in polynomial time)!
- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots
- On multiagent Q-learning in a semi-competitive domain
- Using reciprocity to adapt to others
- Multiagent coordination with learning classifier systems.