Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
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Published By Springer Berlin Heidelberg

9783540629344, 9783540690504

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Learning agents' reliability through Bayesian Conditioning: A simulation experiment

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_47 ◽

1997 ◽

pp. 151-167 ◽

Cited By ~ 3

Author(s):

Aldo Franco Dragoni ◽

Paolo Giorgini

Keyword(s):

Simulation Experiment ◽

Learning Agents ◽

Bayesian Conditioning

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Correlating internal parameters and external performance: Learning Soccer Agents

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_46 ◽

1997 ◽

pp. 137-150 ◽

Cited By ~ 2

Author(s):

Rajani Nadella ◽

Sandip Sen

Keyword(s):

Internal Parameters

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Evolution of coordination as a metaphor for learning in multi-agent systems

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_45 ◽

1997 ◽

pp. 117-136 ◽

Cited By ~ 2

Author(s):

Ana L. C. Bazzan

Keyword(s):

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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On the collaborative object search team: a formulation

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_44 ◽

1997 ◽

pp. 94-116 ◽

Cited By ~ 3

Author(s):

Yiming Ye ◽

John K. Tsotsos

Keyword(s):

Object Search

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Cooperative Case-based Reasoning

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_49 ◽

1997 ◽

pp. 180-201 ◽

Cited By ~ 20

Author(s):

Enric Plaza ◽

Josep Lluís Arcos ◽

Francisco Martín

Keyword(s):

Case Based Reasoning ◽

Case Based

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Contract-net-based learning in a user-adaptive interface agency

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_50 ◽

1997 ◽

pp. 202-222 ◽

Cited By ~ 4

Author(s):

Britta Lenzmann ◽

Ipke Wachsmuth

Keyword(s):

Contract Net ◽

Adaptive Interface

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Learning and communication in Multi-Agent Systems

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_53 ◽

1997 ◽

pp. 259-275 ◽

Cited By ~ 6

Author(s):

Holger Friedrich ◽

Michael Kaiser ◽

Oliver Rogalla ◽

Rüdiger Dillmann

Keyword(s):

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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Learning coordinated behavior in a continuous environment

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_42 ◽

1997 ◽

pp. 73-81 ◽

Cited By ~ 3

Author(s):

Norihiko Ono ◽

Yoshihiro Fukuta

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Reader's guide

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_37 ◽

1997 ◽

pp. 1-10

Author(s):

Gerhard Weiß

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Learning real team solutions

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments ◽

10.1007/3-540-62934-3_40 ◽

1997 ◽

pp. 40-61 ◽

Cited By ~ 7

Author(s):

Cristina Versino ◽

Luca Maria Gambardella

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Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent EnvironmentsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Learning agents' reliability through Bayesian Conditioning: A simulation experiment

Correlating internal parameters and external performance: Learning Soccer Agents

Evolution of coordination as a metaphor for learning in multi-agent systems

On the collaborative object search team: a formulation

Cooperative Case-based Reasoning

Contract-net-based learning in a user-adaptive interface agency

Learning and communication in Multi-Agent Systems

Learning coordinated behavior in a continuous environment

Reader's guide

Learning real team solutions

Lecture Notes in Computer Science - Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
Latest Publications