Coverart for item
The Resource Learning and adaption in multi-agent systems : first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers, Karl Tuyls [and others] (eds.), (electronic book)

Learning and adaption in multi-agent systems : first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers, Karl Tuyls [and others] (eds.), (electronic book)

Label
Learning and adaption in multi-agent systems : first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers
Title
Learning and adaption in multi-agent systems
Title remainder
first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers
Statement of responsibility
Karl Tuyls [and others] (eds.)
Title variation
LAMAS 2005
Creator
Contributor
Subject
Genre
Language
eng
Summary
This book contains selected and revised papers of the International Workshop on Lea- ing and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference in Utrecht, The Netherlands, July 26. An important aspect in multi-agent systems (MASs) is that the environment evolves over time, not only due to external environmental changes but also due to agent int- actions. For this reason it is important that an agent can learn, based on experience, and adapt its knowledge to make rational decisions and act in this changing environment autonomously. Machine learning techniques for single-agent frameworks are well established. Agents operate in uncertain environments and must be able to learn and act - tonomously. This task is, however, more complex when the agent interacts with other agents that have potentially different capabilities and goals. The single-agent case is structurally different from the multi-agent case due to the added dimension of dynamic interactions between the adaptive agents. Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) is an emerging multi-disciplinary area encompassing computer science, software engineering, biology, as well as cognitive and social sciences. A t- oretical framework, in which rationality of learning and interacting agents can be - derstood, is still under development in MASs, although there have been promising?rst results
Member of
Is part of
Action
digitized
Cataloging source
GW5XE
Dewey number
006.31
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.I5735 2005eb
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2005
http://bibfra.me/vocab/lite/meetingName
LAMAS 2005
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Tuyls, Karl
Series statement
Lecture notes in artificial intelligence,
Series volume
3898
http://library.link/vocab/subjectName
  • Machine learning
  • Distributed artificial intelligence
  • Electronic data processing
  • Computer Science
  • Artificial Intelligence (incl. Robotics)
  • Computer Communication Networks
Label
Learning and adaption in multi-agent systems : first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers, Karl Tuyls [and others] (eds.), (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
An overview of cooperative and competitive multiagent learning / Pieter Jan't Hoen [and others] -- Multi-robot learning for continuous area sweeping / Mazda Ahmadi and Peter Stone -- Learning automata as a basis for multi agent reinforcement learning / Ann Nowe, Katja Verbeeck and Maarten Peeters -- Learning pareto-optimal solutions in 2x2 conflict games / Stephane Airiau and Sandip Sen -- Unifying convergence and no-regret in multiagent learning / Bikramjit Banerjee and Jing Peng -- Implicit coordination in a network of social drivers : the role of information in a commuting scenario / Ana L.C. Bazzan, Manuel Fehler and Franziska Klugl -- Multiagent traffic management: opportunities for multiagent learning / Kurt Dresner and Peter Stone -- Dealing with errors in a cooperative multi-agent learning system / Constanca Oliveira e Sousa and Luis Custodio -- The success and failure of tag-mediated evolution of cooperation / Austin McDonald and Sandip Sen -- An adaptive approach for the exploration-exploitation dilemma and its application to economic systems / Lilia Rejeb, Zahia Guessoum and Rym M'Hallah -- Efficient reward functions for adaptive multi-rover systems / Kagan Tumer and Adrian Agogino -- Multi-agent relational reinforcement learning explorations in multi-state coordination tasks / Tom Croonenborghs, Karl Tuyls, Jan Ramon and Maurice Bruynooghe -- Multi-type ACO for light path protection / Peter Vrancx, Ann Nowe and Kris Steenhaut
Control code
SPR262693023
Dimensions
unknown
Extent
1 online resource (x, 215 pages)
Form of item
online
Isbn
9783540330530
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Reproduction note
Electronic reproduction.
Specific material designation
remote
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Label
Learning and adaption in multi-agent systems : first international workshop, LAMAS 2005, Utrecht, the Netherlands, July 25, 2005, revised selected papers, Karl Tuyls [and others] (eds.), (electronic book)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
An overview of cooperative and competitive multiagent learning / Pieter Jan't Hoen [and others] -- Multi-robot learning for continuous area sweeping / Mazda Ahmadi and Peter Stone -- Learning automata as a basis for multi agent reinforcement learning / Ann Nowe, Katja Verbeeck and Maarten Peeters -- Learning pareto-optimal solutions in 2x2 conflict games / Stephane Airiau and Sandip Sen -- Unifying convergence and no-regret in multiagent learning / Bikramjit Banerjee and Jing Peng -- Implicit coordination in a network of social drivers : the role of information in a commuting scenario / Ana L.C. Bazzan, Manuel Fehler and Franziska Klugl -- Multiagent traffic management: opportunities for multiagent learning / Kurt Dresner and Peter Stone -- Dealing with errors in a cooperative multi-agent learning system / Constanca Oliveira e Sousa and Luis Custodio -- The success and failure of tag-mediated evolution of cooperation / Austin McDonald and Sandip Sen -- An adaptive approach for the exploration-exploitation dilemma and its application to economic systems / Lilia Rejeb, Zahia Guessoum and Rym M'Hallah -- Efficient reward functions for adaptive multi-rover systems / Kagan Tumer and Adrian Agogino -- Multi-agent relational reinforcement learning explorations in multi-state coordination tasks / Tom Croonenborghs, Karl Tuyls, Jan Ramon and Maurice Bruynooghe -- Multi-type ACO for light path protection / Peter Vrancx, Ann Nowe and Kris Steenhaut
Control code
SPR262693023
Dimensions
unknown
Extent
1 online resource (x, 215 pages)
Form of item
online
Isbn
9783540330530
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations.
Reproduction note
Electronic reproduction.
Specific material designation
remote
System details
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.

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