By Tran Cao Son, Enrico Pontelli (auth.), Jürgen Dix, Michael Fisher, Peter Novák (eds.)

This ebook constitutes the completely refereed and revised post-conference court cases of the tenth foreign Workshop on Computational good judgment for Multi-Agent platforms, CLIMA X, held in Hamburg, Germany, in September 2009 - co-located with pals 2009, the seventh German convention on Multi-Agent procedure applied sciences. The nine complete papers, offered including one invited paper, have been rigorously chosen and reviewed from 18 submissions. the subjects lined are formal techniques and version checking, belief-desire-intention, solution set programming and (multi-)agent structures, and coordination and deliberation.

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Extra resources for Computational Logic in Multi-Agent Systems: 10th International Workshop, CLIMA X, Hamburg, Germany, September 9-10, 2009, Revised Selected and Invited Papers

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The language LRTL is defined by the following grammar: ϕ ::= p | ¬ϕ | ϕ ∧ ϕ | ρ γ where γ ::= ϕ | ¬γ | γ ∧ γ | ϕ U ϕ | ϕ and p ∈ Props and ρ ∈ R± ∞ . Formulae ϕ (resp. γ) are called state (resp. path) formulae. Expressing Properties of Resource-Bounded Systems 27 Moreover, we define fragments of LRTL in which the domain of ρ is restricted. Let X be any set of multisets over R. Then LRTL restricts LRTL in such a X way that ρ ∈ X. Finally, we define [ρ], the dual of ρ , as ¬ ρ ¬. Analogously to the language of CTL we define LRTL as the fragment of LRTL in which each temporal operator is immediately preceded by a path quantifier.

The (positive) restriction of M regarding N, M N , is the multiset M N over X ∪ Y defined as follows: M N (x) := M(x) 0 if N(x) ≥ 0 and x ∈ Y otherwise. So, the multiset M N equals M for all elements contained in N which have a non-negative quantity, and 0 for all others elements. 3 Modelling Resource-Bounded Systems In this section we introduce resource-bounded models (RBMs) for modelling system with limited resources. Then, we propose the logics RTL and RTL (resource-bounded tree logics), for the verification of such systems.

18(1), 55–77 (2009) 2. : Verifying time, memory and communication bounds in systems of reasoning agents. In: AAMAS 2008: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 736–743 (2008) 3. : Resource-bounded alternating-time temporal logic. , Sen, S. ) Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada, IFAAMAS (to appear, May 2010) 4. : Alternating-time temporal logic. Journal of the ACM 49, 672–713 (2002) 5.

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