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024 7 _a10.1007/3-540-44826-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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245 1 0 _aAdaptive Agents and Multi-Agent Systems
_h[electronic resource] :
_bAdaptation and Multi-Agent Learning /
_cedited by Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov.
250 _a1st ed. 2003.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aXIV, 330 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 ;
_v2636
505 0 _aLearning, Co-operation, and Communication -- Cooperative Multiagent Learning -- Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems -- Cooperative Learning Using Advice Exchange -- Environmental Risk, Cooperation, and Communication Complexity -- Multiagent Learning for Open Systems: A Study in Opponent Classification -- Situated Cognition and the Role of Multi-agent Models in Explaining Language Structure -- Emergence and Evolution in Multi-agent Systems -- Adapting Populations of Agents -- The Evolution of Communication Systems by Adaptive Agents -- An Agent Architecture to Design Self-Organizing Collectives: Principles and Application -- Evolving Preferences among Emergent Groups of Agents -- Structuring Agents for Adaptation -- Stochastic Simulation of Inherited Kinship-Driven Altruism -- Theoretical Foundations of Adaptive Agents -- Learning in Multiagent Systems: An Introduction from a Game-Theoretic Perspective -- The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents -- Using Cognition and Learning to Improve Agents’ Reactions -- TTree: Tree-Based State Generalization with Temporally Abstract Actions -- Using Landscape Theory to Measure Learning Difficulty for Adaptive Agents -- Relational Reinforcement Learning for Agents in Worlds with Objects.
520 _aAdaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents.
650 0 _aArtificial intelligence.
650 0 _aSocial sciences.
650 0 _aHumanities.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 0 _aCompilers (Computer programs).
650 0 _aComputer science.
650 1 4 _aArtificial Intelligence.
650 2 4 _aHumanities and Social Sciences.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSoftware Engineering.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aComputer Science Logic and Foundations of Programming.
700 1 _aAlonso, Eduardo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKudenko, Daniel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKazakov, Dimitar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540400684
776 0 8 _iPrinted edition:
_z9783662178201
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2636
856 4 0 _uhttps://doi.org/10.1007/3-540-44826-8
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