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The algorithm continues until a removed node (thus the node with the lowest f value out of all fringe nodes) is a goal node. [b] The f value of that goal is then also the cost of the shortest path, since h at the goal is zero in an admissible heuristic. The algorithm described so far only gives the length of the shortest path.
Peter E. Hart (born 1941 [2]) is an American computer scientist and entrepreneur. He was chairman and president of Ricoh Innovations, which he founded in 1997.He made significant contributions in the field of computer science in a series of widely cited publications from the years 1967 to 1975 while associated with the Artificial Intelligence Center of SRI International, a laboratory where he ...
1968 – A* graph search algorithm described by Peter Hart, Nils Nilsson, and Bertram Raphael; 1968 – Risch algorithm for indefinite integration developed by Robert Henry Risch; 1969 – Strassen algorithm for matrix multiplication developed by Volker Strassen
Some of the more notable results include the development of the A* search algorithm, which is widely used in pathfinding and graph traversal, the process of plotting an efficiently traversable path between points; the Hough transform, which is a feature extraction technique used in image analysis, computer vision, and digital image processing ...
Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...
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[2] [3] Although the basic idea of using logical reasoning to decide on actions is due to John McCarthy, [7] Nilsson's group was the first to embody it in a complete agent, along the way inventing the A* search algorithm [8] and founding the field of automated temporal planning.
Kevin Hart’s new movie “Lift” is fine for what it is, featuring a heist designed for light escapism. Yet it’s also a prime example of the Netflix algorithm at work: using data to determine ...