LEADER 05525nam 22007935 450 001 996465644403316 005 20200705110846.0 010 $a1-280-38572-3 010 $a9786613563644 010 $a3-642-11814-3 024 7 $a10.1007/978-3-642-11814-2 035 $a(CKB)2560000000000989 035 $a(SSID)ssj0000355410 035 $a(PQKBManifestationID)11233494 035 $a(PQKBTitleCode)TC0000355410 035 $a(PQKBWorkID)10320109 035 $a(PQKB)11014207 035 $a(DE-He213)978-3-642-11814-2 035 $a(MiAaPQ)EBC3065061 035 $a(PPN)149073720 035 $a(EXLCZ)992560000000000989 100 $a20100715d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive Learning Agents$b[electronic resource] $eSecond Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers /$fedited by Matthew Taylor, Karl Tuyls 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (154 p. 70 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5924 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-11813-5 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThisbookpresentsselectedandrevisedpapersoftheSecondWorkshoponAd- tive and Learning Agents 2009 (ALA-09), held at the AAMAS 2009 conference in Budapest, Hungary, May 12. The goalof ALA is to provide an interdisciplinaryforum for scientists from a variety of ?elds such as computer science, biology, game theory and economics. This year?s edition of ALA was the second after the merger of the former wo- shops ALAMAS and ALAg. In 2008 this joint workshop was organized for the ?rst time under the ?ag of both events. ALAMAS was a yearly returning Eu- pean workshop on adaptive and learning agents and multi-agent systems (held eight times). ALAg was the international workshop on adaptive and learning agents, which was usually held at AAMAS. To increase the strength, visibility and quality of the workshop it was decided to merge both workshops under the ?ag of ALA and to set up a Steering Committee as an organizational backbone. This book contains six papers presented during the workshop, which were carefully selected after an additional review round in the summer of 2009. We therefore wish to explicitly thank the members of the Program Committee for the quality and sincerity of their e?orts and service. Furthermore we would like to thank all the members of the senior Steering Committee for making this workshop possible and supporting it with sound advice. We also thank the AAMAS conference for providing us a platform for holding this event. Finally we also wish to thank all authors who responded to our call-for-papers with interesting contributions. 410 0$aLecture Notes in Artificial Intelligence ;$v5924 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aComputer science?Mathematics 606 $aAlgorithms 606 $aComputer simulation 606 $aComputer organization 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aComputer science?Mathematics. 615 0$aAlgorithms. 615 0$aComputer simulation. 615 0$aComputer organization. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aSimulation and Modeling. 615 24$aComputer Systems Organization and Communication Networks. 676 $a006.3 702 $aTaylor$b Matthew$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTuyls$b Karl$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465644403316 996 $aAdaptive Learning Agents$92829829 997 $aUNISA