The Resource Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.)
Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.)
Resource Information
The item Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- "This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field."--PUBLISHER'S WEBSITE
- Language
- eng
- Extent
- x, 238 pages
- Contents
-
- Adaptation and learning in multi-agent systems : some remarks and a bibliography / Gerhard Weiss
- Refinement in agent groups / Ciara Byrne and Peter Edwards
- Opponent modeling in multi-agent systems / David Carmel and Shaul Markovitch
- A multi-agent environment for Department of Defense distributions / Laurence Glicoes, Richard Staats, and Michael Huhns
- Mutually supervised learning in multiagent systems / Claudia V. Goldman and Jeffrey S. Rosenschein
- A framework for distributed reinforcement learning / Pan Gu and Anthony B. Maddox
- Evolving behavioral strategies in predators and prey / Thomas Haynes and Sandip Sen
- To learn or not to learn / Anupam Joshi
- A user-adaptive interface agency for interaction with a virtual environment / Britta Lenzmann and Ipke Wachsmuth
- Learning in multi-robot systems / Maja J. Matarić
- Learn your opponent's strategy (in polynomial time)! / Yishay Mor, Claudia V. Goldman, and Jeffrey S. Rosenschein
- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai
- On multiagent Q-learning in a semi-competitive domain / Tuomas W. Sandholm and Robert H. Crites
- Using reciprocity to adapt to others ; Multiagent coordination with learning classifier systems / Sundip Sen and Mahendra Sekaran
- Isbn
- 9783540609230
- Label
- Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings
- Title
- Adaption and learning in multi-agent systems
- Title remainder
- IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings
- Statement of responsibility
- Gerhard Weiss, Sandip Sen (eds.)
- Language
- eng
- Summary
- "This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field."--PUBLISHER'S WEBSITE
- Cataloging source
- DLC
- Illustrations
- illustrations
- Index
- index present
- LC call number
- Q325.5
- LC item number
- .I55 1995
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 1995
- http://bibfra.me/vocab/lite/meetingName
- International Joint Conference on Artificial Intelligence
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
-
- 1962-
- 1964-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Weiss, Gerhard
- Sen, Sandip
- Series statement
-
- Lecture notes in computer science
- Lecture notes in artificial intelligence
- Series volume
- 1042.
- http://library.link/vocab/subjectName
-
- Machine learning
- Distributed artificial intelligence
- Electronic data processing
- Label
- Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Adaptation and learning in multi-agent systems : some remarks and a bibliography / Gerhard Weiss -- Refinement in agent groups / Ciara Byrne and Peter Edwards -- Opponent modeling in multi-agent systems / David Carmel and Shaul Markovitch -- A multi-agent environment for Department of Defense distributions / Laurence Glicoes, Richard Staats, and Michael Huhns -- Mutually supervised learning in multiagent systems / Claudia V. Goldman and Jeffrey S. Rosenschein -- A framework for distributed reinforcement learning / Pan Gu and Anthony B. Maddox -- Evolving behavioral strategies in predators and prey / Thomas Haynes and Sandip Sen -- To learn or not to learn / Anupam Joshi -- A user-adaptive interface agency for interaction with a virtual environment / Britta Lenzmann and Ipke Wachsmuth -- Learning in multi-robot systems / Maja J. Matarić -- Learn your opponent's strategy (in polynomial time)! / Yishay Mor, Claudia V. Goldman, and Jeffrey S. Rosenschein -- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai -- On multiagent Q-learning in a semi-competitive domain / Tuomas W. Sandholm and Robert H. Crites -- Using reciprocity to adapt to others ; Multiagent coordination with learning classifier systems / Sundip Sen and Mahendra Sekaran
- Control code
- 34318834
- Dimensions
- 24 cm
- Extent
- x, 238 pages
- Isbn
- 9783540609230
- Isbn Type
- (softcover : alk. paper)
- Lccn
- 96006928
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- Label
- Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen (eds.)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Adaptation and learning in multi-agent systems : some remarks and a bibliography / Gerhard Weiss -- Refinement in agent groups / Ciara Byrne and Peter Edwards -- Opponent modeling in multi-agent systems / David Carmel and Shaul Markovitch -- A multi-agent environment for Department of Defense distributions / Laurence Glicoes, Richard Staats, and Michael Huhns -- Mutually supervised learning in multiagent systems / Claudia V. Goldman and Jeffrey S. Rosenschein -- A framework for distributed reinforcement learning / Pan Gu and Anthony B. Maddox -- Evolving behavioral strategies in predators and prey / Thomas Haynes and Sandip Sen -- To learn or not to learn / Anupam Joshi -- A user-adaptive interface agency for interaction with a virtual environment / Britta Lenzmann and Ipke Wachsmuth -- Learning in multi-robot systems / Maja J. Matarić -- Learn your opponent's strategy (in polynomial time)! / Yishay Mor, Claudia V. Goldman, and Jeffrey S. Rosenschein -- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai -- On multiagent Q-learning in a semi-competitive domain / Tuomas W. Sandholm and Robert H. Crites -- Using reciprocity to adapt to others ; Multiagent coordination with learning classifier systems / Sundip Sen and Mahendra Sekaran
- Control code
- 34318834
- Dimensions
- 24 cm
- Extent
- x, 238 pages
- Isbn
- 9783540609230
- Isbn Type
- (softcover : alk. paper)
- Lccn
- 96006928
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
Subject
- Distributed artificial intelligence -- Congresses
- Electronic data processing -- Distributed processing -- Congresses
- Machine learning -- Congresses
- Conference papers and proceedings
Genre
Member of
- Lecture notes in computer science, Lecture notes in artificial intelligence
- Lecture notes in computer science, 1042
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