Titlebook: Artificial Intelligence Through Search; Christopher James Thornton,Benedict Boulay Book 1992 Springer Science+Business Media Dordrecht 199

Incisor

https://doi.org/10.1007/978-3-031-19572-3n simulates a simple form of reasoning. Backwards search corresponds to a process in which a high-level hypothesis is “proved” by invoking lower-level hypotheses and, ultimately, basic facts. Forwards-search corresponds to a process in which an attempt is made to see what conclusions can be drawn by

DEMN

,MicroBooNE as?a?LArTPC Detector,m the set of facts looking for the set of goals. In backwards search, the search function works backwards from the goals looking for the supporting facts. Although, normally, both the goals and the facts are . we have seen in the previous chapter that in the case where we construe goals as conclusio

機(jī)密

Christine D. Tippett,Todd M. Milfordtree search can be used for route-finding, problem-solving and heuristic problem-solving, and how AND/OR-tree search can be used for planning, reasoning, parsing, expert diagnosis and concept learning. Most of these applications involve the use of some additional computational machinery and/or the c

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Encoding

持久

https://doi.org/10.1007/978-94-011-2836-0Extension; Prolog; artificial intelligence; intelligence; learning; programming

SPECT

978-94-010-5260-3Springer Science+Business Media Dordrecht 1992

Mindfulness

Simple State Space Search,g of the word “search”. It is just the process of looking around systematically for a given location or object. In a sense, path-finding search is just ordinary, common-or-garden search, but cast in a computational framework.

Stricture

Heuristic State Space Search,h spaces) such as the water jugs problem this strategy is perfectly adequate. However, if the search space is particularly big, then exploring it exhaustively may take too much time. As it turns out, most interesting problems have . search spaces.

Tailor

Heuristic Search of Game Trees,nction. Unfortunately, the efficacy of this approach is greatly undermined by the foothills problem, i.e. the inability of the heuristic function to take account of states that lie “beyond” the immediate successors of the current state. This is known as the ..