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

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School Development in Tough Times,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 ..

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,MicroBooNE as?a?LArTPC Detector,ns and facts as premises it is sometimes advantageous to make the search function generate the goals and/or the facts. Forwards search can be used to discover which high-level conclusions can be drawn from the given set of facts and backwards search can be used to see which sets of facts might enable the drawing of given conclusions.

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Search-Related Techniques in AI,ng a sentence or planning a sequence of robot actions. . is one of the central issues in problem-solving systems. It becomes so whenever the system, through lack of knowledge, is faced with a choice from a number of alternatives, where each choice leads to the need to make further choices, and so on

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Simple State Space Search,nal structure and is represented simply by a token. This process is subsumed in the general class of . search and is dealt with more generally in the next chapter. We will use the example of finding a path using a map. It is easy to describe and corresponds fairly closely to the non-technical meanin

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State Space Search,n of a physical environment to find a path from a start node to a goal node. This sort of program obviously has uses for any task which involves route planning (e.g. programming mobile robots). But in fact the program we have constructed has many other possibilities.

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