Download e-book for iPad: Analysis and Verification of Multiple-Agent Languages: 5th by F. Nielson, P. Cousot, M. Dam, P. Degano (auth.), Mads Dam

By F. Nielson, P. Cousot, M. Dam, P. Degano (auth.), Mads Dam (eds.)

ISBN-10: 3540625038

ISBN-13: 9783540625032

This ebook originates from the fifth LOMAPS Workshop on research and Verification of Multiple-Agent Languages, held in Stockholm, Sweden, in June 1996. LOMAPS is an ESPRIT undertaking dedicated to software research and verification ideas appropriate to rising multi-paradigm programming languages.
The quantity offers 14 revised complete papers chosen from the workshop submissions including four invited contributions; additionally integrated is an introductory assessment surveying the cutting-edge within the quarter and placing the contributions into this context.

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Read Online or Download Analysis and Verification of Multiple-Agent Languages: 5th LOMAPS Workshop Stockholm, Sweden, June 24–26, 1996 Selected Papers PDF

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Additional info for Analysis and Verification of Multiple-Agent Languages: 5th LOMAPS Workshop Stockholm, Sweden, June 24–26, 1996 Selected Papers

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Xij ) where j ≤ l, xi1 , . . , xij ∈ X and R ⊆ Dj . t. for each constraint R(xi1 , . . , xij ) ∈ C, (f (xi1 , . . , f (xij ))) ∈ R. Given a (d, l)-CSP, the basic computational problem is to decide whether it has a solution or not — to determine if it is satisfiable. If the function does not assign values to every variable, but only a subset of them, it will be referred to as a partial solution, provided no constraints are violated by these assignments. The special case (2, 2)-CSP is equivalent to 2-Satisfiability, or 2-SAT.

The behaviour of the algorithm can be simulated by encoding the Among constraint using the sum constraint: Among([X1 , . . ,n} where each Bi is a Boolean variable with the domain {0, 1}. In the algorithm, lb corresponds to the number of Boolean variables assigned 1, and ub to the number of Boolean variables not assigned 0 (that is, either assigned 1 or having the domain {0,1}). Lines 3 and 4 of the algorithm can be seen as the propagation of the sum constraint: min(N ) is computed by taking the maximum of min(N ) and the sum of min(Bi ) which is equivalent to lb; similarly max(N ) is computed by taking the minimum of max(N ) and the sum of max(Bi ) which is equivalent to ub.

The recursive rules l3 and l6 dominate the costs. For lists of length n less than or equal to 2, the number of rule applications is bounded by a constant (at most 5). For lists of length greater than 2, the number of rule applications is linear in the length of the list. For the overall complexity, we should not forget about waking: If a variable of a pending lex constraint gets more constrained by a built-in constraint, the lex constraint will be woken. Then the results hold even if the built-in constraints are imposed incrementally, as is standard in constraint programming applications.

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Analysis and Verification of Multiple-Agent Languages: 5th LOMAPS Workshop Stockholm, Sweden, June 24–26, 1996 Selected Papers by F. Nielson, P. Cousot, M. Dam, P. Degano (auth.), Mads Dam (eds.)


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