Computational Logic in Multi-Agent Systems: 15th International Workshop, CLIMA XV, Prague, Czech Republic, August 18-19, 2014, Proceedings (Lecture Notes in Computer Science, nr. 8624)
Editat de Nils Bulling, Leendert van der Torre, Serena Villata, Wojtek Jamroga, Wamberto Vasconcelosen Limba Engleză Paperback – 04 Aug 2014
The 12 regular papers were carefully reviewed and selected from 20 submissions. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, programming and reasoning about agents and multi-agent systems in a formal way. This edition will feature two special sessions: logics for agreement technologies and logics for games, strategic reasoning, and social choice.
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Specificații
ISBN-13: 9783319097633
ISBN-10: 3319097636
Pagini: 216
Ilustrații: XVI, 199 p. 22 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 3.34 kg
Ediția: 2014
Editura: Springer
Colecția Springer
Seriile Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence
Locul publicării: Cham, Switzerland
ISBN-10: 3319097636
Pagini: 216
Ilustrații: XVI, 199 p. 22 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 3.34 kg
Ediția: 2014
Editura: Springer
Colecția Springer
Seriile Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence
Locul publicării: Cham, Switzerland
Public țintă
ResearchCuprins
On the Complexity of Two-Agent Justification Logic.- Fair Allocation of Group Tasks According to Social Norms.- A Conceptual Model for Situated Artificial Institutions.- Evolving Bridge Rules in Evolving Multi-Context Systems.- Enumerating Extensions on Random Abstract-AFs with ArgTools, Aspartix, ConArg2, and Dung-O-Matic.- Automated Planning of Simple Persuasion Dialogues.- Empirical Evaluation of Strategies for Multiparty Argumentative Debates.- How to Build Input/Output Logic.- The Problem of Judgment Aggregation in the Framework of Boolean-Valued Models.- A Behavioral Hierarchy of Strategy Logic.- Synthesis and Verification of Uniform Strategies for Multi-agent Systems.- Partial Information and Uniform Strategies.