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Many real world problems can be expressed as optimisation problems. Solvingthis kind of problems means to find, among all possible solutions, the one thatmaximises an evaluation function. One approach to solve this kind of problem isto use an informed search strategy. The principle of this kind of strategy isto use problem-specific knowledge beyond the definition of the problem itselfto find solutions more efficiently than with an uninformed strategy. This kindof strategy demands to define problem-specific knowledge (heuristics). Theefficiency and the effectiveness of systems based on it directly depend on theused knowledge quality. Unfortunately, acquiring and maintaining such knowledgecan be fastidious. The objective of the work presented in this paper is topropose an automatic knowledge revision approach for systems based on aninformed tree search strategy. Our approach consists in analysing the systemexecution logs and revising knowledge based on these logs by modelling therevision problem as a knowledge space exploration problem. We present anexperiment we carried out in an application domain where informed searchstrategies are often used: cartographic generalisation.

Knowledge revision in systems based on an informed tree search strategy : application to cartographic generalisation