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Which decomposition techniques have been applied in Answer Set Programming? 


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Decomposition techniques have been applied in Answer Set Programming (ASP) to tackle intractable problems. One such technique is Logic-Based Benders Decomposition (LBBD), which decomposes the problem into a Master Problem (MP) and one or several Sub-Problems (SP). The solution of the MP is passed to the SPs, and the process is iterated until a valid solution is obtained for all the sub-problems or the MP is proven infeasible . Another decomposition concept used is tree decomposition, which combines decomposition methods with dynamic algorithms. Different heuristics and dynamic algorithms can be used, and the choice of the combination greatly affects the performance. Supervised machine learning techniques can be applied to automatically select the dynamic algorithm based on the features of the input tree decomposition .

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The paper does not mention any specific decomposition techniques applied in Answer Set Programming.
The paper does not mention any specific decomposition techniques applied in Answer Set Programming.
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Open accessProceedings Article
01 Aug 2013
1 Citations
The paper does not mention any specific decomposition techniques applied in Answer Set Programming.
Logic-Based Benders Decomposition (LBBD) has been applied in Answer Set Programming (ASP) as a decomposition technique.

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