000 | 04151nam a22006015i 4500 | ||
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001 | 978-3-540-32274-0 | ||
003 | DE-He213 | ||
005 | 20160624101925.0 | ||
007 | cr nn 008mamaa | ||
008 | 100705s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540322740 _9978-3-540-32274-0 |
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024 | 7 |
_a10.1007/b106974 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTJFM1 _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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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. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_aVIII, 313 p. Also available online. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _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 | _aComputer science. | |
650 | 0 | _aComputer Communication Networks. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aLogic design. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aLogics and Meanings of Programs. |
650 | 2 | 4 | _aProgramming Languages, Compilers, Interpreters. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
700 | 1 |
_aKudenko, Daniel. _eeditor. |
|
700 | 1 |
_aKazakov, Dimitar. _eeditor. |
|
700 | 1 |
_aAlonso, Eduardo. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540252603 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v3394 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/b106974 |
942 |
_2EBK3940 _cEBK |
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999 |
_c33234 _d33234 |