ISBN: 9783540448266
Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engine… Mehr…
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ISBN: 9783540448266
Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engine… Mehr…
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ISBN: 9783540448266
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2003, ISBN: 9783540448266
Adaptation and Multi-Agent Learning, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2003
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Adaptation and Multi-Agent Learning, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]
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ISBN: 9783540448266
Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engine… Mehr…
ISBN: 9783540448266
Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engine… Mehr…
ISBN: 9783540448266
Adaptive Agents and Multi-Agent Systems ab 78.49 € als pdf eBook: Adaptation and Multi-Agent Learning. Aus dem Bereich: eBooks, Belletristik, Erzählungen, https://media.ebook.de/shop/cove… Mehr…
2003, ISBN: 9783540448266
Adaptation and Multi-Agent Learning, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heidelberg, 2003
2003, ISBN: 9783540448266
Adaptation and Multi-Agent Learning, eBook Download (PDF), eBooks, [PU: Springer Berlin Heidelberg]
Bibliographische Daten des bestpassenden Buches
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Detailangaben zum Buch - Adaptive Agents and Multi-Agent Systems
EAN (ISBN-13): 9783540448266
Erscheinungsjahr: 2003
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-02-21T11:49:41+01:00 (Berlin)
Detailseite zuletzt geändert am 2021-09-09T19:10:17+02:00 (Berlin)
ISBN/EAN: 9783540448266
ISBN - alternative Schreibweisen:
978-3-540-44826-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: kuden
Titel des Buches: agent, learning
Daten vom Verlag:
Autor/in: Eduardo Alonso; Daniel Kudenko; Dimitar Kazakov
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Adaptive Agents and Multi-Agent Systems - Adaptation and Multi-Agent Learning
Verlag: Springer; Springer Berlin
330 Seiten
Erscheinungsjahr: 2003-08-03
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 330 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; MAS; Multi-agent system; adaptation; adaptive agents; adaptive learning; adaptive systems; agent-based simulation; agent-based systems; agents; artificial intelligence; evolution; intelligence; learning; machine learning; multi-agent systems; C; Artificial Intelligence; Humanities and Social Sciences; Computer Communication Networks; Software Engineering; Compilers and Interpreters; Computer Science Logic and Foundations of Programming; Computer Science; Interdisziplinäre Studien; Netzwerk-Hardware; Software Engineering; Compiler und Übersetzer; Theoretische Informatik; BC
Learning, 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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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