By Natasha Alechina, Brian Logan (auth.), John-Jules Ch. Meyer, Jan Broersen (eds.)
ISBN-10: 3642053009
ISBN-13: 9783642053009
ISBN-10: 3642053017
ISBN-13: 9783642053016
This publication constitutes the completely refereed post-workshop complaints of the 1st overseas Workshop on wisdom illustration for brokers and Multi-Agent platforms, KRAMAS 2008, held in Sydney, Australia, in September 2008 as a satellite tv for pc occasion of KR 2008, the eleventh foreign convention on ideas of information illustration and Reasoning.
The 10 revised complete papers provided have been rigorously reviewed and chosen from 14 submissions. The papers foster the cross-fertilization among the KR (knowledge illustration and reasoning) and agent groups, by means of discussing wisdom illustration theories and strategies for agent-based systems.
Read or Download Knowledge Representation for Agents and Multi-Agent Systems: First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers PDF
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Additional info for Knowledge Representation for Agents and Multi-Agent Systems: First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers
Example text
Qk ∈ σb } (where p’s and q’s are not necessarily disjoint) when α(i) is executed in a state with brute facts set σb which satisfies the pre-condition then the resulting state s has the brute facts set σb which satisfies the post-condition (including replacing p with −p if necessary to preserve consistency) and it is such that the rest of σb is the same as σb . Executing an action α(i) in different configurations may give different results. For each α(i), we denote the set of pre- and post-condition pairs {(prec1 , post1 ), .
LNCS (LNAI), vol. 4908, pp. 107–123. Springer, Heidelberg (2008) 6. : A Model for Organizational Interaction. PhD thesis, Utrecht University, SIKS (2003) 7. : Ameli: An agent-based middleware for electronic institutions. In: Proc. of AAMAS 2004, New York, US (July 2004) 8. : On the formal specification of electronic institutions. M. ) AgentLink 2000. LNCS (LNAI), vol. 1991, pp. 126–147. Springer, Heidelberg (2001) 9. : Implementing norms in electronic institutions. In: Proc. of AAMAS 2005, pp. 667–673.
As the current one iff most members do. C ∀x∀y( C⊆N (x → y ↔ D⊆C,|D|> |C| ( i∈D x ≤i y))) 2 Combining preceding concepts. We start with the conceptually and historically important SCT notion of a dictator. d is a dictator if the group’s preferences C mimic d’s preferences. Interpreting → as achievement relation, we get an even stronger notion: groups can only do what d likes. A local dictator is a dictator who controls one state in the system, and a dictator controls all states. Definition 3 (Local Dictatorship).
Knowledge Representation for Agents and Multi-Agent Systems: First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers by Natasha Alechina, Brian Logan (auth.), John-Jules Ch. Meyer, Jan Broersen (eds.)
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