Knowledge Representation for Agents and Multi-Agent Systems
Editat de John-Jules Meyer, Jan M. Broersenen Limba Engleză Paperback – 26 oct 2009
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Specificații
ISBN-13: 9783642053009
ISBN-10: 3642053009
Pagini: 172
Ilustrații: VII, 162 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:2009
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642053009
Pagini: 172
Ilustrații: VII, 162 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:2009
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
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Public țintă
ResearchCuprins
Reasoning about Other Agents’ Beliefs under Bounded Resources.- Normative Multi-agent Programs and Their Logics.- Modal Logics for Preferences and Cooperation: Expressivity and Complexity.- Simulation and Information: Quantifying over Epistemic Events.- On the Dynamics of Institutional Agreements.- From Trust in Information Sources to Trust in Communication Systems:An Analysis in Modal Logic.- Pre-processing Techniques for Anytime Coalition Structure Generation Algorithms.- Cognitive Use of Artifacts: Exploiting Relevant Information Residing in MAS Environments.- Information-Based Argumentation.- Mediation = Information Revelation + Analogical Reasoning.
Textul de pe ultima copertă
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Knowledge Representation for Agents and Multi-Agent Systems, KRAMAS 2008, held in Sydney, Australia, in September 2008 as a satellite event of KR 2008, the 11th International Conference on Principles of Knowledge Representation and Reasoning.
The 10 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers foster the cross-fertilization between the KR (knowledge representation and reasoning) and agent communities, by discussing knowledge representation theories and techniques for agent-based systems.
The 10 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers foster the cross-fertilization between the KR (knowledge representation and reasoning) and agent communities, by discussing knowledge representation theories and techniques for agent-based systems.