Artificial Intelligence Through Search by Christopher James Thornton, Benedict du Boulay (auth.)

By Christopher James Thornton, Benedict du Boulay (auth.)

This is a crucial textbook on synthetic intelligence that makes use of the unifying thread of seek to assemble lots of the significant thoughts utilized in symbolic man made intelligence. The authors, conscious of the pitfalls of being too basic or too educational, have taken a realistic procedure in that they comprise application code to demonstrate their principles. additionally, code is available in either POP-11 and Prolog, thereby giving a twin point of view, highlighting the benefits of those languages.
each one bankruptcy covers one approach and divides up into 3 sections:

  • a part which introduces the strategy (and its traditional purposes) andsuggests the way it should be understood as a variant/generalisation of seek;
  • a part which constructed a `low'-level (POP-11) implementation;
  • a part which develops a high-level (Prolog) implementation of the technique.

The authors additionally comprise helpful notes on substitute remedies to the cloth, additional interpreting and routines.
As a realistic booklet it will likely be welcomed via a large viewers together with, these already skilled in AI, scholars with a few historical past in programming who're taking an introductory direction in AI, and academics trying to find an exact, specialist and functional textual content publication to exploit of their AI classes.
in regards to the authors:
Dr Christopher Thornton has a BA in Economics, an Sc in laptop technology and a DPhil in synthetic Intelligence. previously a lecturer within the division of AI on the college of Edinburgh, he's now a lecturer in AI within the university of Cognitive and Computing Sciences on the collage of Sussex.
Professor Benedict du Boulay has a BSc in Physics and a PhD in man made Intelligence. formerly a lecturer within the division of Computing technology on the college of Aberdeen he's at present Professor of man-made Intelligence, additionally within the university of Cognitive and Computing Sciences, college of Sussex.

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Extra resources for Artificial Intelligence Through Search

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If we just fill X from the tap we end up with 4 pints in X, not 2. If we fill Y from the tap and empty it into X, we end up with 3 pints in X. The only way to find a solution to this problem is to consider systematically the effects achieved by performing sequences of actions. But how can we go about this? e. all possible routes). So the water jugs problem can be construed as a sort of search problem. Of course, if we are going to construe the water jugs problem as a search problem, nodes in the search space will have to represent states of the two jugs rather than locations in a physical environment.

This is said to be the subtree of the node. Backwards v. forwards searching Construing the structure of choices inherent in the databases defined above in terms of a search space made up from internal nodes and leaf nodes enables us to gain a more abstract perspective on the basic path-finding process. It allows us to see that a given search problem consists of just three components: a successor function, a description of the starting location (called the start node below) and a description of the goal location

If we just fill X from the tap we end up with 4 pints in X, not 2. If we fill Y from the tap and empty it into X, we end up with 3 pints in X. The only way to find a solution to this problem is to consider systematically the effects achieved by performing sequences of actions. But how can we go about this? e. all possible routes). So the water jugs problem can be construed as a sort of search problem. Of course, if we are going to construe the water jugs problem as a search problem, nodes in the search space will have to represent states of the two jugs rather than locations in a physical environment.

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