Titlebook: Logics in Artificial Intelligence; 9th European Confere Jóse Júlio Alferes,Jo?o Leite Conference proceedings 2004 Springer-Verlag Berlin He

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Hierarchical Decision Making by Autonomous Agentsthe same body of knowledge, but each may have its own, possibly conflicting, preferences on the available information..We model the common knowledge base for such preference agents as a logic program under the extended answer set semantics, thus allowing for the defeat of rules to resolve conflicts.

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Modelling Communicating Agents in Timed Reasoning Logicsgics (TRL) framework introduced in [1], we show how to represent the time required by an agent to reach a given conclusion. TRL allows us to model the kinds of rule application and conflict resolution strategies commonly found in rule-based agents, and we show how the choice of strategy can influenc

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On the Relation Between ID-Logic and Answer Set Programmingompare both logics on the level of declarative reading, practical methodology and formal semantics. At the level of methodology, we put forward the . that in many (but not all) existing applications of ASP, an ASP program is used to encode definitions and assertions, similar as in ID-Logic. We illus

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