Distributed artificial intelligence meets machine learning : learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers / Gerhard Weiss (ed.)
This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information and inspiration for AI and ML professionals wishing to learn about this new in...
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Other title: | ECAI '96 Workshop LDAIS. ICMAS '96 Workshop LIOME. |
Format: | Conference Proceeding eBook |
Language: | English |
Published: |
Berlin ; New York :
Springer,
©1997.
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Series: | Lecture notes in computer science ;
1221. Lecture notes in computer science. Lecture notes in artificial intelligence. |
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Table of Contents:
- Reader's guide / Gerhard Weiss
- Challenges for machine learning in cooperative information systems / Munindar P. Singh and Michael N. Huhns
- A modular approach to multi-agent reinforcement learning / Norihiko Ono and Kenji Fukumoto
- Learning real team solutions / Cristina Versino and Luca Maria Gambardella
- Learning by linear anticipation in multi-agent systems / Paul Davidsson
- Learning coordinated behavior in a continuous environment / Norihiko Ono and Yoshihiro Fukuta
- Multi-agent learning with the success-story algorithm / Jürgen Schmidhuber and Jieyu Zhao
- On the collaborative object search team : a formulation / Yiming Ye and John K. Tsotsos
- Evolution of coordination as a metaphor for learning in multi-agent systems / Ana Lucia Cetertick Bazzan
- Correlating internal parameters and external performance : learning soccer agents / Rajani Nadella and Sandip Sen
- Learning agents' reliability through Bayesian conditioning : a simulation experiment / Aldo Franco Dragoni and Paolo Giorgini
- A study of organizational learning in multi-agent systems / Masahiro Terabe [and others]
- Cooperative case-based reasoning / Enric Plaza, Josep Lluis Arcos, and Francisco Martin
- Contract-net-based learning in a user-adaptive interface agency / Britta Lenzmann and Ipke Wachsmuth
- The communication of inductive inferences / Winton Davies and Peter Edwards
- Addressee learning and message interception for communication load reduction in multiple robot environments / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai
- Learning and communication in multi-agent systems / Holger Friedrich [and others]
- Investigating the effects of explicit epistemology on a distributed learning system / Nicholas Lacey, Keiichi Nakata, and Mark Lee.