Download Computational Logic in Multi-Agent Systems: 10th by Tran Cao Son, Enrico Pontelli (auth.), Jürgen Dix, Michael PDF

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

This booklet constitutes the completely refereed and revised post-conference complaints of the tenth overseas Workshop on Computational common sense for Multi-Agent structures, CLIMA X, held in Hamburg, Germany, in September 2009 - co-located with friends 2009, the seventh German convention on Multi-Agent approach applied sciences. The nine complete papers, awarded including one invited paper, have been conscientiously chosen and reviewed from 18 submissions. the subjects coated are formal methods and version checking, belief-desire-intention, solution set programming and (multi-)agent structures, and coordination and deliberation.

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Extra info 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 encoding N{q0 },ρ (M, {q0 }, ϕ) of an RBM M. The resource requirements are left out here. M q0 ϕ q1 q2 ❣ N{q0 },ρ (M, {q0 }, ϕ) pq0 tq0 q1 pq1 tˆq0 q1 pϕ pS pq2 tq0 q2 Fig. 7. The encoding N{q0 },ρ (M, {q0 }, ϕ) of an RBM M. The resource requirements are left out here. Additionally, for the next-operator we extend the construction and disable, in the first step, transition that do not result in a state satisfying ϕ. These transition are only enabled if there is a token in pϕ . The net is shown in Figure 7.

If a marking is reachable an appropriate sequence of transitions is constructed. This sequence can also be used to construct κ: One simply takes the maximum of all markings of all resource types along this sequence. If the state is not reachable, κ is chosen arbitrarily. Finally, we also include non-feasible resource sets and get the main result. Theorem 6 (Model CheckingRTL: Decidability). The model-checking problem for RTL over RBMs is decidable. Proof (Sketch). We extend the previous construction to be able to deal with non-feasible resource sets.

Proceedings of the 19th European Conference on Artificial Intelligence (ECAI 2010), Porto, Portugal, August 16-20 (to appear, 2010) 6. : Design and synthesis of synchronization skeletons using branching time temporal logic. In: Kozen, D. ) Logic of Programs 1981. LNCS, vol. 131, pp. 52–71. Springer, Heidelberg (1982) 7. : Automatic verification of finite-state concurrent systems using temporal logic specifications. ACM Transactions on Programming Languages and Systems 8(2), 244–263 (1986) 8. : Sometimes and not never revisited: On branching versus linear time temporal logic.

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