# Algorithms, Concurrency and Knowledge: 1995 Asian Computing by Eliezer A. Albacea (auth.), Kanchana Kanchanasut,

By Eliezer A. Albacea (auth.), Kanchana Kanchanasut, Jean-Jacques Lévy (eds.)

This quantity constitutes the refereed complaints of the 1995 Asian Computing technology convention, ACSC ninety five, held in Pathumthani, Thailand in December 1995.

The 29 totally revised papers offered have been chosen from a complete of 102 submissions; truly nearly all of the partaking researchers come from South-East Asian international locations, yet there's additionally a robust overseas part. the amount displays study actions, fairly through Asian computing device technological know-how researchers, in several components. unique awareness is paid to algorithms, wisdom illustration, programming and specification languages, verification, concurrency, networking and disbursed platforms, and databases.

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**Additional resources for Algorithms, Concurrency and Knowledge: 1995 Asian Computing Science Conference, ACSC '95 Pathumthani, Thailand, December 11–13, 1995 Proceedings**

**Example text**

CTL formulas are defined starting from a finite set P of propositions, the Boolean connectives, the temporal connectives X (“next-time”) and U (“until”), and the path quantifiers E (“exists”) and A (“for all”). Given a finite set P of propositions, CTL formulas are inductively defined as follows: – Each element of P is a formula; – ¬ψ, ψ ∨ φ, EXψ, AXψ, E(φUψ), and A(φUψ) are formulas if φ and ψ are. CTL semantics is given with respect to Kripke structures. A Kripke structure K is a triple W, T, L where W is a set of worlds, T ⊆ W × W is a total transition relation, and L : W →2P is a labeling function.

Henry A. Kautz and Bart Selman. Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search. In Proc. AAAI-96, 1996. 14. Nicholas Kushmerick, Steve Hanks, and Daniel S. Weld. An algorithm for probabilistic planning. Artificial Intelligence, 76(1-2):239–286, September 1995. 15. L. McMillan. Symbolic Model Checking. , 1993. 16. M. Peot. Decision-Theoretic Planning. PhD thesis, Dept. Engineering-Economic Systems — Stanford University, 1998. 34 A. Cimatti and M. Roveri 17. J. Rintanen.

Given a limit in the length of the plan, it generates all the encodings up to the specified length, and repeatedly calls the QBF decider on encodings of increasing length until a plan is found. We specified as limit the length of the shortest solution. BDD based computations are known to be sensitive to a number of factors, such as the ordering of variables. For all the examples reported here, cmbp used a fixed ordering strategy: action variables were positioned at the top, then plan variables, and state variables.