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 - researchr publication

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Gerhard Weiß, editor, 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. Volume 1221 of Lecture Notes in Computer Science, Springer, 1997.

Conference: ecai1997

Abstract is missing.

Reader s GuideGerhard Weiß. 1-10

Challenges for Machine Learning in Cooperative Information SystemsMunindar P. Singh, Michael N. Huhns. 11-24

A Modular Approach to Multi-Agent Reinforcement LearningNorihiko Ono, Kenji Fukumoto. 25-39

Learning Real Team SolutionsCristina Versino, Luca Maria Gambardella. 40-61

Learning by Linear Anticipation in Multi-Agent SystemsPaul Davidsson. 62-72

Learning Coordinated Behavior in a Continuous EnvironmentNorihiko Ono, Yoshihiro Fukuta. 73-81

Multi-Agent Learning with the Success-Story AlgorithmJürgen Schmidhuber, Jieyu Zhao. 82-93

On the Collaborative Object Search Team: A FormulationYiming Ye, John K. Tsotsos. 94-116

Evolution of Coordination as a Metaphor for Learning in Multi-Agent SystemsAna L. C. Bazzan. 117-136

Correlating Internal Parameters and External Performance: Learning Soccer AgentsRajani Nadella, Sandip Sen. 137-150

Learning Agents Reliability Through Bayesian Conditioning: A Simulation ExperimentAldo Franco Dragoni, Paolo Giorgini. 151-167

A Study of Organizational Learning in Multi-Agent SytemsMasahiro Terabe, Takashi Washio, Osamu Katai, Tetsuo Sawaragi. 168-179

Cooperative Case-Based ReasoningEnric Plaza, Josep Lluís Arcos, Francisco J. Martín. 180-201

Contract-Net-Based Learning in a User-Adaptive Interface AgencyBritta Lenzmann, Ipke Wachsmuth. 202-222

The Communication of Inductive InferencesWinton Davies, Peter Edwards. 223-241

Addressee Learning and Message Interception for Communication Load Reduction in Multiple Robot EnvironmentsTakuya Ohko, Kazuo Hiraki, Yuichiro Anzai. 242-258

Learning and Communication in Multi-Agent SystemsHolger Friedrich, Michael Kaiser, Oliver Rogalla, Rüdiger Dillmann. 259-275

Investigating the Effects of Explicit Epistemology on a Distributed Learning SystemNicholas Lacey, Keiichi Nakata, Mark Lee. 276-292

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