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On transformation of STRIPS planning to linear programming

DOI: 10.2478/v10170-010-0042-3

Keywords: planning, problem solving, block world, uncertainty, linear programming, computational complexity

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Abstract:

STRIPS language is a convenient representation for artificial intelligence planning problems. Planning is a task of coming up with a sequence of actions that will achieve a goal. In this work a heuristic of polynomial transformation of STRIPS planning problem to linear programming problem (LP) is presented. This is done because planning problems are hard computational problems (PSPACE- complete in general case) and LP problems are known to be computational easy. Representation of STRIPS planning as a set of equalities and inequalities based on the transformation is also proposed. The exemplary simulation shows the computational efficiency of solving planning problem with proposed transformation.

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