The Resource Learning and Adaption in Multi-Agent Systems : First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers, edited by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen, (electronic resource)

Learning and Adaption in Multi-Agent Systems : First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers, edited by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen, (electronic resource)

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
edited by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen
Creator
Contributor
Editor
Editor
Subject
Language
  • eng
  • 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 Subseries of
http://bibfra.me/vocab/relation/corporateauthor
hYSdbEDhDBU
Dewey number
006.3
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
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Image bit depth
0
Language note
English
LC call number
Q334-342
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2005
http://bibfra.me/vocab/lite/meetingName
LAMAS 2005
Nature of contents
dictionaries
http://bibfra.me/vocab/lite/organizationName
International Workshop on Learning and Adaptation in Multi-Agent Systems
http://library.link/vocab/relatedWorkOrContributorName
  • International Workshop on Learning and Adaptation in Multi-Agent Systems
  • Tuyls, Karl.
  • 't Hoen, Pieter Jan.
  • Verbeeck, Katja.
  • Sen, Sandip.
Series statement
Lecture Notes in Artificial Intelligence
Series volume
3898
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Computer Communication Networks
  • Artificial Intelligence
  • 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, edited by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen, (electronic resource)
Instantiates
Publication
Note
"This book contains selected and revised papers of the International Workshop on Learning and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference"--Pref
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Color
not applicable
Content category
text
Content type code
  • txt
Contents
An Overview of Cooperative and Competitive Multiagent Learning -- Multi-robot Learning for Continuous Area Sweeping -- Learning Automata as a Basis for Multi Agent Reinforcement Learning -- Learning Pareto-optimal Solutions in 2x2 Conflict Games -- Unifying Convergence and No-Regret in Multiagent Learning -- Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario -- Multiagent Traffic Management: Opportunities for Multiagent Learning -- Dealing with Errors in a Cooperative Multi-agent Learning System -- The Success and Failure of Tag-Mediated Evolution of Cooperation -- An Adaptive Approach for the Exploration-Exploitation Dilemma and Its Application to Economic Systems -- Efficient Reward Functions for Adaptive Multi-rover Systems -- Multi-agent Relational Reinforcement Learning -- Multi-type ACO for Light Path Protection
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (X, 217 p.)
File format
multiple file formats
Form of item
online
Isbn
9783540330592
Level of compression
uncompressed
Media category
computer
Media type code
  • c
Other control number
10.1007/11691839
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000232881
  • (SSID)ssj0000318637
  • (PQKBManifestationID)11211588
  • (PQKBTitleCode)TC0000318637
  • (PQKBWorkID)10310453
  • (PQKB)11014580
  • (DE-He213)978-3-540-33059-2
  • (MiAaPQ)EBC3067578
  • (EXLCZ)991000000000232881
Label
Learning and Adaption in Multi-Agent Systems : First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers, edited by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen, (electronic resource)
Publication
Note
"This book contains selected and revised papers of the International Workshop on Learning and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference"--Pref
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Color
not applicable
Content category
text
Content type code
  • txt
Contents
An Overview of Cooperative and Competitive Multiagent Learning -- Multi-robot Learning for Continuous Area Sweeping -- Learning Automata as a Basis for Multi Agent Reinforcement Learning -- Learning Pareto-optimal Solutions in 2x2 Conflict Games -- Unifying Convergence and No-Regret in Multiagent Learning -- Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario -- Multiagent Traffic Management: Opportunities for Multiagent Learning -- Dealing with Errors in a Cooperative Multi-agent Learning System -- The Success and Failure of Tag-Mediated Evolution of Cooperation -- An Adaptive Approach for the Exploration-Exploitation Dilemma and Its Application to Economic Systems -- Efficient Reward Functions for Adaptive Multi-rover Systems -- Multi-agent Relational Reinforcement Learning -- Multi-type ACO for Light Path Protection
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (X, 217 p.)
File format
multiple file formats
Form of item
online
Isbn
9783540330592
Level of compression
uncompressed
Media category
computer
Media type code
  • c
Other control number
10.1007/11691839
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000232881
  • (SSID)ssj0000318637
  • (PQKBManifestationID)11211588
  • (PQKBTitleCode)TC0000318637
  • (PQKBWorkID)10310453
  • (PQKB)11014580
  • (DE-He213)978-3-540-33059-2
  • (MiAaPQ)EBC3067578
  • (EXLCZ)991000000000232881

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