Objectif State-space search, finding paths in huge, implicitly given graphs, is a fundamental problem in artificial intelligence and other areas of computer science. State-space search algorithms like A*, IDA* and greedy best-first search are major success stories in artificial intelligence, and hundreds of papers based on variations of these algorithms are published every year. Due to this success, the major assumptions of these algorithms are rarely questioned.We argue that the current generation of state-space search algorithms has three significant deficiencies that impede further progress in the field:1. They explore a monolithic model of the world rather than applying a factored perspective.2. They do not learn from mistakes and hence tend do commit the same mistake thousands of times.3. In the case of satisficing (i.e. suboptimal) search, the design of the major algorithms has been based on ad-hoc intuitions rather than sound theoretical principles.This proposal targets these three issues. We propose to develop a rigorous theory of factored state-space search, a rigorous theory of learning from information gathered during search, and adecision-theoretic foundation for satisficing search algorithms. Based on these insights we will design and implement new state-space search algorithms addressing the deficiencies of current methods. Finally, we will apply the new algorithms to application domains of state-space search to raise the state of the art in these areas. Champ scientifique natural sciencescomputer and information sciencesartificial intelligencenatural sciencesphysical sciencesastronomyspace exploration Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Appel à propositions ERC-2013-StG Voir d’autres projets de cet appel Régime de financement ERC-SG - ERC Starting Grant Institution d’accueil UNIVERSITAT BASEL Contribution de l’UE € 1 499 737,00 Adresse PETERSPLATZ 1 4051 Basel Suisse Voir sur la carte Région Schweiz/Suisse/Svizzera Nordwestschweiz Basel-Stadt Type d’activité Higher or Secondary Education Establishments Chercheur principal Malte Helmert (Prof.) Contact administratif Kurt Kamber (Dr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire UNIVERSITAT BASEL Suisse Contribution de l’UE € 1 499 737,00 Adresse PETERSPLATZ 1 4051 Basel Voir sur la carte Région Schweiz/Suisse/Svizzera Nordwestschweiz Basel-Stadt Type d’activité Higher or Secondary Education Establishments Chercheur principal Malte Helmert (Prof.) Contact administratif Kurt Kamber (Dr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée
