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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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Authors: European Conference on Artificial Intelligence Budapest, Hungary, International Conference on Multi-Agent Systems
Other Authors: Weiss, Gerhard, 1962-
Other title:ECAI '96 Workshop LDAIS.
ICMAS '96 Workshop LIOME.
Format: Conference Proceeding eBook
Language:English
Published: Berlin ; New York : Springer, ©1997.
Series:Lecture notes in computer science ; 1221.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Subjects:
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.