Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisationReport as inadecuate




Automatic revision of the control knowledge used by trial and error methods: Application to cartographic generalisation - Download this document for free, or read online. Document in PDF available to download.

1 COGIT - Conception Objet et Généralisation de l-Information Topographique 2 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes Bondy 3 MSI - Modélisation et Simulation Informatique de systèmes complexes

Abstract : Humans frequently have to face complex problems. A classical approach to solve them is to search the solution by means of a trial and error method. This approach is often used with success by artificial systems. However, when facing highly complex problems, it becomes necessary to introduce control knowledge heuristics in order to limit the number of trials needed to find the optimal solution. Unfortunately, acquiring and maintaining such knowledge can be fastidious. In this paper, we propose an automatic knowledge revision approach for systems based on a trial and error method. Our approach allows to revise the knowledge off-line by means of experiments. It is based on the analysis of solved instances of the considered problem and on the exploration of the knowledge space. Indeed, we formulate the revision problem as a search problem: we search the knowledge set that maximises the performances of the system on a sample of problem instances. Our knowledge revision approach has been implemented for a real-world industrial application: automated cartographic generalisation, a complex task of the cartography domain. In this implementation, we demonstrate that our approach improves the quality of the knowledge and thus the performance of the system.

Keywords : Knowledge Revision Problem Solving Trial and Error Method Cartographic Generalisation





Author: Patrick Taillandier - Cécile Duchêne - Alexis Drogoul -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents