Computational Logic in Multi-Agent Systems: 8th International Workshop, CLIMA VIII, Porto, Portugal, September 10-11, 2007. Revised Selected and Invited PapersMulti-agent systems are communities of problem-solving entities that can exhibit varying degrees of intelligence. They can perceive and react to their environment, they can have individual or joint goals, for which they can plan and execute actions. Work on such systems integrates many technologies and concepts in - ti?cial intelligence and other areas of computing as well as other disciplines. The agent paradigm has become widely popular and widely used in recent years, due to its applicability to a large range of domains, from search engines to edu- tional aids to electronic commerce and trade, e-procurement, recommendation systems, simulation and routing, and ambient intelligence, to cite only some. Computational logic provides a well-de?ned, general, and rigorous framework for studying syntax, semantics, and procedures for various capabilities and fu- tionalities of individual agents, as well as interaction amongst agents in multi-agent systems. It also provides a well-de?ned and rigorous framework for implemen- tions, environments, tools, and standards, and for linking together speci?cation and veri?cation of properties of individual agents and multi-agent systems. The CLIMA workshop series was founded to provide a forum for discussing, presenting, and promoting computational logic-based approaches in the design, development, analysis, and application of multi-agent systems. |
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acceptable achieve actions agent algorithm allows application approach arguments assertable assume assumptions atomic attacks axioms behaviour beliefs called checking complete Computer conclusion condition consider consistent constraints construction contains context coordination corresponding decision default defeat defined Definition denote derivable described different discuss distributed epistemic evolution example execution exists expressed extended fact failure first formal formula framework function given goal Heidelberg holds implementation instance interaction interpreted introduce knowledge language literal logic program means mechanism modal Multi-Agent Systems negotiation Note obligation operator particular performance possible preferences present problem proof proposed propositional prove reasoning relation represent requirements respect result rule satisfy scenario semantics sequence specification step strategy structure task temporal theory transformation variables