'Df search' diaporamas de présentation

Informed Search and Exploration

903 views • 88 slides

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration. Fall 2011 Marco Valtorta mgv@cse.sc.edu. Acknowledgment. The slides are based on the textbook [AIMA] and other sources, including other fine textbooks and the accompanying slide sets

1.16k views • 85 slides

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration. Fall 2008 Marco Valtorta mgv@cse.sc.edu. Acknowledgment. The slides are based on the textbook [AIMA] and other sources, including other fine textbooks and the accompanying slide sets

1.02k views • 85 slides

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration. Fall 2008 Marco Valtorta mgv@cse.sc.edu. Acknowledgment. The slides are based on the textbook [AIMA] and other sources, including other fine textbooks and the accompanying slide sets

866 views • 85 slides

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration

CSCE 580 Artificial Intelligence Ch.4: Informed (Heuristic) Search and Exploration. Fall 2011 Marco Valtorta mgv@cse.sc.edu. Acknowledgment. The slides are based on the textbook [AIMA] and other sources, including other fine textbooks and the accompanying slide sets

872 views • 85 slides

Artificial intelligence 1: informed search

1.25k views • 79 slides

Artificial intelligence 1: informed search

Artificial intelligence 1: informed search. Lecturer: Tom Lenaerts SWITCH, Vlaams Interuniversitair Instituut voor Biotechnologie. Outline. Informed = use problem-specific knowledge Which search strategies? Best-first search and its variants Heuristic functions? How to invent them

794 views • 78 slides

Artificial intelligence 1: informed search

668 views • 49 slides

informed search

informed search. Romania with step costs in km. h SLD =straight-line distance heuristic. h SLD can NOT be computed from the problem description itself In this example f(n)=h(n) Expand node that is closest to goal = Greedy best-first search. Greedy search example. Arad (366).

317 views • 31 slides