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AIMSA
2008
Springer

DynABT: Dynamic Asynchronous Backtracking for Dynamic DisCSPs

8 years 6 months ago
DynABT: Dynamic Asynchronous Backtracking for Dynamic DisCSPs
Abstract. Constraint Satisfaction has been widely used to model static combinatorial problems. However, many AI problems are dynamic and take place in a distributed environment, i.e. the problems are distributed over a number of agents and change over time. Dynamic Distributed Constraint Satisfaction Problems (DDisCSP) [1] are an emerging field for the resolution problems that are dynamic and distributed in nature. In this paper, we propose DynABT, a new Asynchronous algorithm for DDisCSPs which combines solution and reasoning reuse i.e. it handles problem changes by modifying the existing solution while re-using knowledge gained from solving the original(unchanged) problem. The benefits obtained from this approach are two-fold: (i) new solutions are obtained at a lesser cost and; (ii) resulting solutions are stable i.e. close to previous solutions. DynABT has been empirically evaluated on problems of varying difficulty and several degrees of changes has been found to be competitive fo...
Bayo Omomowo, Inés Arana, Hatem Ahriz
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where AIMSA
Authors Bayo Omomowo, Inés Arana, Hatem Ahriz
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