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Artificial Intelligence: Strategies, Applications, and by Christopher Thornton, Benedict du Boulay PDF

By Christopher Thornton, Benedict du Boulay

ISBN-10: 0814404707

ISBN-13: 9780814404706

Man made INTELLIGENCE suggestions, functions, and versions via seek moment version This cutting edge new ebook on man made intelligence (AI) makes use of the unifying thread of seek to assemble the key program and modeling strategies that use symbolic AI. all of the 11 chapters is split into 3 sections: ** a piece which introduces the strategy ** a piece which develops a low-level (POP-11) implementation ** a bit which develops a high-level (Prolog) implementation entire but functional, this publication may be of serious price to these skilled in AI, in addition to to scholars with a few programming history and teachers and execs trying to find an actual dialogue of synthetic intelligence via seek.

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Additional resources for Artificial Intelligence: Strategies, Applications, and Models Through SEARCH

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If it finds that there is a path from any of these locations to the goal it immediately returns . If all possibilities are exhausted it returns . Thus if we make the following call on search, having ensured that search makes use of successors1: [1] For the examples here, is_goal merely matches the location against a pre-specified goal location. g. returning true if the location starts with "f", say, or contains exactly five letters. In this latter case the second argument would be a dummy (as would the second argument of search).

4. Search the ''other goals" from step 2. If this is successful, exit with , otherise exit with . subgoals] in rules do search(subgoals) and search(other_goals) -> result; if result = true then return endif endforeach; false -> result endif enddefine; <><><><><><><><><><><><> 1. Search succeeds if the given list of goals is empty. 2. Otherwise, search succeeds if there is a rule that associates the first of the given goals with subgoals and search succeeds for these subgoals as well as search succeeding with the other remaining given goals for step 4.

This would seem to be a process which is really only of relevance in the case where we are trying to find a path from one location to another. However, as we shall see, it turns out that the process has a range of applications. The following chapters will attempt to show some of the dimensions of this generality. In order to make life easier, the rest of the current chapter will introduce a slightly more abstract view of the path-finding process we have described. Although, in the current context, it is quite satisfactory to talk about "visiting locations" and getting from one place to another "in one hop", this approach is not so helpful when considering more advanced applications.

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Artificial Intelligence: Strategies, Applications, and Models Through SEARCH by Christopher Thornton, Benedict du Boulay

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