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020 _a9783540322740
_9978-3-540-32274-0
024 7 _a10.1007/b106974
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aAdaptive Agents and Multi-Agent Systems II
_h[electronic resource] :
_bAdaptation and Multi-Agent Learning /
_cedited by Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aVIII, 313 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3394
505 0 _aGödel Machines: Towards a Technical Justification of Consciousness -- Postext - A Mind for Society -- Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure -- Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems -- SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report -- Towards Time Management Adaptability in Multi-agent Systems -- Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems -- Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems -- Evolving the Game of Life -- The Strategic Control of an Ant-Based Routing System Using Neural Net Q-Learning Agents -- Dynamic and Distributed Interaction Protocols -- Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain -- Evolving Strategies for Agents in the Iterated Prisoner's Dilemma in Noisy Environments -- Experiments in Subsymbolic Action Planning with Mobile Robots -- Robust Online Reputation Mechanism by Stochastic Approximation -- Learning Multi-agent Search Strategies -- Combining Planning with Reinforcement Learning for Multi-robot Task Allocation -- Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games -- Towards Adaptive Role Selection for Behavior-Based Agents.
520 _aAdaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
650 0 _aArtificial intelligence.
_93407
650 0 _aSoftware engineering.
_94138
650 0 _aComputer networks .
_931572
650 0 _aComputer science.
_99832
650 0 _aCompilers (Computer programs).
_93350
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aSoftware Engineering.
_94138
650 2 4 _aComputer Communication Networks.
_9160483
650 2 4 _aComputer Science Logic and Foundations of Programming.
_942203
650 2 4 _aCompilers and Interpreters.
_931853
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
700 1 _aKudenko, Daniel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160484
700 1 _aKazakov, Dimitar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160485
700 1 _aAlonso, Eduardo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160486
710 2 _aSpringerLink (Online service)
_9160487
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540252603
776 0 8 _iPrinted edition:
_z9783540808725
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3394
_9160488
856 4 0 _uhttps://doi.org/10.1007/b106974
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