000 | 03334nam a22006015i 4500 | ||
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001 | 978-3-642-11814-2 | ||
003 | DE-He213 | ||
005 | 20140220084532.0 | ||
007 | cr nn 008mamaa | ||
008 | 100715s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642118142 _9978-3-642-11814-2 |
||
024 | 7 |
_a10.1007/978-3-642-11814-2 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aTaylor, Matthew E. _eeditor. |
|
245 | 1 | 0 |
_aAdaptive and Learning Agents _h[electronic resource] : _bSecond Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers / _cedited by Matthew E. Taylor, Karl Tuyls. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
|
300 |
_a154p. 70 illus. _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 |
||
490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v5924 |
|
505 | 0 | _aAbstraction and Generalization in Reinforcement Learning: A Summary and Framework -- The Effects of Evolved Sociability in a Commons Dilemma -- Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach -- Decentralized Learning in Wireless Sensor Networks -- Recursive Adaptation of Stepsize Parameter for Non-stationary Environments -- Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa -- Learning to Locate Trading Partners in Agent Networks -- Coordinating Learning Agents for Multiple Resource Job Scheduling. | |
520 | _aThis volume constitutes the thoroughly refereed post-conference proceedings of the Second Workshop on Adaptive and Learning Agents, ALA 2009, held as part of the AAMAS 2009 conference in Budapest, Hungary, in May 2009. The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. They cover a variety of themes: single and multi-agent reinforcement learning, the evolution and emergence of cooperation in agent systems, sensor networks and coordination in multi-resource job scheduling. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer network architectures. | |
650 | 0 | _aComputer Communication Networks. | |
650 | 0 | _aComputer software. | |
650 | 0 | _aComputational complexity. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer simulation. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aDiscrete Mathematics in Computer Science. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aSimulation and Modeling. |
650 | 2 | 4 | _aComputer Systems Organization and Communication Networks. |
700 | 1 |
_aTuyls, Karl. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642118135 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v5924 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-11814-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
999 |
_c111943 _d111943 |