Cel 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. Dziedzina nauki natural sciencescomputer and information sciencesartificial intelligencenatural sciencesphysical sciencesastronomyspace exploration Program(-y) 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) Temat(-y) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Zaproszenie do składania wniosków ERC-2013-StG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-SG - ERC Starting Grant Instytucja przyjmująca UNIVERSITAT BASEL Wkład UE € 1 499 737,00 Adres PETERSPLATZ 1 4051 Basel Szwajcaria Zobacz na mapie Region Schweiz/Suisse/Svizzera Nordwestschweiz Basel-Stadt Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Malte Helmert (Prof.) Kontakt administracyjny Kurt Kamber (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko UNIVERSITAT BASEL Szwajcaria Wkład UE € 1 499 737,00 Adres PETERSPLATZ 1 4051 Basel Zobacz na mapie Region Schweiz/Suisse/Svizzera Nordwestschweiz Basel-Stadt Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Malte Helmert (Prof.) Kontakt administracyjny Kurt Kamber (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
