Computational Logic in Multi-Agent Systems [electronic resource] : 7th International Workshop, CLIMA VII, Hakodate, Japan, May 8-9, 2006, Revised Selected and Invited Papers / edited by Katsumi Inoue, Ken Satoh, Francesca Toni.
Contributor(s): Inoue, Katsumi [editor.] | Satoh, Ken [editor.] | Toni, Francesca [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 4371Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007Edition: 1st ed. 2007.Description: X, 318 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540696193.Subject(s): Artificial intelligence | Computer networks | Machine theory | Artificial Intelligence | Computer Communication Networks | Formal Languages and Automata TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineRegular Papers -- Acts of Commanding and Changing Obligations -- Hierarchical Decision Making in Multi-agent Systems Using Answer Set Programming -- On a Linear Framework for Belief Dynamics in Multi-agent Environments -- Answer Set Programming for Representing and Reasoning About Virtual Institutions -- A Complete Probabilistic Belief Logic -- Prototyping 3APL in the Maude Term Rewriting Language -- Dialogue Game Tree with Nondeterministic Additive Consolidation -- Representing and Verifying Temporal Epistemic Properties in Multi-Agent Systems -- A New Logical Semantics for Agent Communication -- Contextual Reasoning in Agent Systems -- An Argumentation-Based Negotiation for Distributed Extended Logic Programs -- Belief Updating by Communication Channel -- On the Implementation of Global Abduction -- Adding Evolving Abilities to a Multi-Agent System -- Contest Papers -- The Second Contest on Multi-Agent Systems Based on Computational Logic -- Using Antimodels to Define Agents' Strategy -- Multi-Agent FLUX for the Gold Mining Domain (System Description) -- Using Jason to Implement a Team of Gold Miners.
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