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050202s2005 gw a b 101 0 eng |
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|a 2005921645
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|a 3540252606 (softcover)
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|a DLC
|c DLC
|d HR-ZaFER
|b hrv
|e ppiak
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|a pcc
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|a QA76.76.I58
|b A313 2005
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|a 006.3
|2 22
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|a Adaptive agents and multi-agent systems II:
|b adaptation and multi-agent learning /
|c Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso (eds.).
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260 |
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|a Berlin ;
|a New York :
|b Springer-Verlag,
|c 2005.
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300 |
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|a viii, 312 p. :
|b ill. ;
|c 23 cm.
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490 |
1 |
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|a Lecture notes in computer science ;
|v 3394.
|a Lecture notes in artificial intelligence
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504 |
|
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|a Includes bibliographical references and index.
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505 |
0 |
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|a Gödel Machines: Towards a Technical Justification of Consciousness ---
Jürgen Schmidhuber
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505 |
0 |
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|a Postext – A Mind for Society ---
Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon
|
505 |
0 |
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|a Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure ---
Mark Bartlett, Dimitar Kazakov
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505 |
0 |
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|a Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems ---
Martin Carpenter, Daniel Kudenko
|
505 |
0 |
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|a SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report ---
Christopher Child, Kostas Stathis
|
505 |
0 |
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|a Towards Time Management Adaptability in Multi-agent Systems ---
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers
|
505 |
0 |
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|a Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems ---
Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens
|
505 |
0 |
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|a Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems ---
Spiros Kapetanakis, Daniel Kudenko
|
505 |
0 |
|
|a Evolving the Game of Life ---
Dimitar Kazakov, Matthew Sweet
|
505 |
0 |
|
|a The Strategic Control of an Ant-Based Routing System Using Neural Net Q-Learning Agents ---
David Legge
|
505 |
0 |
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|a Dynamic and Distributed Interaction Protocols ---
Jarred McGinnis, David Robertson
|
505 |
0 |
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|a Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain ---
Luís Nunes, Eugénio Oliveira
|
505 |
0 |
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|a Evolving Strategies for Agents in the Iterated Prisoner’s Dilemma in Noisy Environments ---
Colm O’Riordan
|
505 |
0 |
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|a Experiments in Subsymbolic Action Planning with Mobile Robots ---
John Pisokas, Ulrich Nehmzow
|
505 |
0 |
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|a Robust Online Reputation Mechanism by Stochastic Approximation ---
Takamichi Sakai, Kenji Terada, Tadashi Araragi
|
505 |
0 |
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|a Learning Multi-agent Search Strategies ---
Malcolm J. A. Strens
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505 |
0 |
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|a Combining Planning with Reinforcement Learning for Multi-robot Task Allocation ---
Malcolm Strens, Neil Windelinckx
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505 |
0 |
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|a Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games ---
Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
|
505 |
0 |
|
|a Towards Adaptive Role Selection for Behavior-Based Agents ---
Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivier Glorieux
|
650 |
|
0 |
|a Intelligent agents (Computer software).
|
650 |
|
0 |
|a Artificial intelligence.
|
700 |
1 |
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|a Kudenko, Daniel,
|d 1968-
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700 |
1 |
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|a Kazakov, Dimitar,
|d 1967-
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700 |
1 |
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|a Alonso, Eduardo,
|d 1967-
|
830 |
|
0 |
|a Lecture notes in computer science ;
|v 3394.
|
830 |
|
0 |
|a Lecture notes in computer science.
|p Lecture notes in artificial intelligence.
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856 |
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2 |
|3 Publisher description
|u http://www.loc.gov/catdir/enhancements/fy0663/2005921645-d.html
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|b cbc
|c orignew
|d 2
|e epcn
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|2 udc
|c K
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|a pc17 2005-02-02
|a jf00 2005-05-17
|a jf00 2005-05-17;
|c jf03 2005-05-26 to Subj.
|a jf01 2005-06-07 (Review)
|a aa23 2005-06-17
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|c 34733
|d 34733
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