Coverart for item
The Resource 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, Gerhard WeiÝ, (ed.)

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, Gerhard WeiÝ, (ed.)

Label
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
Title
Distributed artificial intelligence meets machine learning
Title remainder
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
Statement of responsibility
Gerhard WeiÝ, (ed.)
Contributor
Subject
Genre
Language
eng
Summary
  • This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information and inspiration for AI and ML professionals wishing to learn about this new interdisciplinary field or to prepare themselves for doing relevant research
  • "The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information."--PUBLISHER'S WEBSITE
Member of
Cataloging source
DLC
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.D57 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1962-
  • 1996
  • 1996
http://library.link/vocab/relatedWorkOrContributorName
  • Weiss, Gerhard
  • European Conference on Artificial Intelligence
  • International Conference on Multi-Agent Systems
Series statement
  • Lecture notes in computer science
  • Lecture notes in artificial intelligence
Series volume
1221.
http://library.link/vocab/subjectName
  • Machine learning
  • Distributed artificial intelligence
Label
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, Gerhard WeiÝ, (ed.)
Instantiates
Publication
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
Reader's guide / Gerhard Weiss -- Challenges for machine learning in cooperative information systems / Munindar P. Singh and Michael N. Huhns -- A modular approach to multi-agent reinforcement learning / Norihiko Ono and Kenji Fukumoto -- Learning real team solutions / Cristina Versino and Luca Maria Gambardella -- Learning by linear anticipation in multi-agent systems / Paul Davidsson -- Learning coordinated behavior in a continuous environment / Norihiko Ono and Yoshihiro Fukuta -- Multi-agent learning with the success-story algorithm / Jürgen Schmidhuber and Jieyu Zhao -- On the collaborative object search team : a formulation / Yiming Ye and John K. Tsotsos -- Evolution of coordination as a metaphor for learning in multi-agent systems / Ana Lucia Cetertick Bazzan -- Correlating internal parameters and external performance : learning soccer agents / Rajani Nadella and Sandip Sen -- Learning agents' reliability through Bayesian conditioning : a simulation experiment / Aldo Franco Dragoni and Paolo Giorgini -- A study of organizational learning in multi-agent systems / Masahiro Terabe ... [et al.] -- Cooperative case-based reasoning / Enric Plaza, Josep Lluis Arcos, and Francisco Martin -- Contract-net-based learning in a user-adaptive interface agency / Britta Lenzmann and Ipke Wachsmuth -- The communication of inductive inferences / Winton Davies and Peter Edwards -- Addressee learning and message interception for communication load reduction in multiple robot environments / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai -- Learning and communication in multi-agent systems / Holger Friedrich ... [et al.] -- Investigating the effects of explicit epistemology on a distributed learning system / Nicholas Lacey, Keiichi Nakata, and Mark Lee
Control code
36877313
Dimensions
24 cm
Extent
x, 294 pages
Isbn
9783540629344
Isbn Type
(pbk. : alk. paper)
Lccn
97013883
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
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, Gerhard WeiÝ, (ed.)
Publication
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
Reader's guide / Gerhard Weiss -- Challenges for machine learning in cooperative information systems / Munindar P. Singh and Michael N. Huhns -- A modular approach to multi-agent reinforcement learning / Norihiko Ono and Kenji Fukumoto -- Learning real team solutions / Cristina Versino and Luca Maria Gambardella -- Learning by linear anticipation in multi-agent systems / Paul Davidsson -- Learning coordinated behavior in a continuous environment / Norihiko Ono and Yoshihiro Fukuta -- Multi-agent learning with the success-story algorithm / Jürgen Schmidhuber and Jieyu Zhao -- On the collaborative object search team : a formulation / Yiming Ye and John K. Tsotsos -- Evolution of coordination as a metaphor for learning in multi-agent systems / Ana Lucia Cetertick Bazzan -- Correlating internal parameters and external performance : learning soccer agents / Rajani Nadella and Sandip Sen -- Learning agents' reliability through Bayesian conditioning : a simulation experiment / Aldo Franco Dragoni and Paolo Giorgini -- A study of organizational learning in multi-agent systems / Masahiro Terabe ... [et al.] -- Cooperative case-based reasoning / Enric Plaza, Josep Lluis Arcos, and Francisco Martin -- Contract-net-based learning in a user-adaptive interface agency / Britta Lenzmann and Ipke Wachsmuth -- The communication of inductive inferences / Winton Davies and Peter Edwards -- Addressee learning and message interception for communication load reduction in multiple robot environments / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai -- Learning and communication in multi-agent systems / Holger Friedrich ... [et al.] -- Investigating the effects of explicit epistemology on a distributed learning system / Nicholas Lacey, Keiichi Nakata, and Mark Lee
Control code
36877313
Dimensions
24 cm
Extent
x, 294 pages
Isbn
9783540629344
Isbn Type
(pbk. : alk. paper)
Lccn
97013883
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

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