By Christopher Thornton, Benedict du Boulay
Synthetic INTELLIGENCE concepts, functions, and versions via seek moment version This leading edge new booklet on man made intelligence (AI) makes use of the unifying thread of seek to collect the most important program and modeling thoughts that use symbolic AI. all the 11 chapters is split into 3 sections: ** a piece which introduces the procedure ** a bit which develops a low-level (POP-11) implementation ** a bit which develops a high-level (Prolog) implementation entire but useful, this publication can be of significant price to these skilled in AI, in addition to to scholars with a few programming history and lecturers and pros searching for an exact dialogue of man-made intelligence via seek.
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Additional info for Artificial Intelligence - Strategies Applications and Models
Setting up the Path-Finding Function Now that we have set up a database and a function which lets us find out where we can get to from any given location we can concentrate on writing the code which will actually try out different paths. Imagine we are at some location S and we want to get to some desired location (which will be called the goal below). We can easily find out where we can get to in one hop from S (by calling the successor function) so a reasonable strategy would be to first check whether we are already at the goal location and, if not, test to see whether we can get to the goal starting from any one of the successors of S.
By examining the trace of either the POP-11 search_tree or the Prolog version one can see the depth first, left to right order in which the search tree is built. ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** spy search_tree. search_tree([a], z, Tree). (1) Call : search_tree([a], z, _1)? (2) Call : search_tree([a, b], z, _2)? (3) Call : search_tree([a, b, e], z, _3)? (4) Call : search_tree([a, b, e, x], z, _4)? (5) Call : search_tree([a, b, e, x, z], z, _5)? (5) Exit : search_tree([a, b, e, x, z], z, [z])?
Next = [e, d] ? - successors(bombay, Next). Next =  ? yes Procedure search_tree/3 in Figure 2-15 corresponds to the earlier POP-11 function search_tree in Figure 2-7. It takes three arguments. The first is the path so far (initially containing the starting node), the second is the goal being sought and the third argument holds the tree being built. Page 38 <><><><><><><><><><><><> /* search_tree(+Path_so_far, +Goal, -Tree) Given a Path_so_far and a Goal, search_tree succeeds if Tree is the search tree starting from the path so far which either reaches the goal or reaches a dead ends.
Artificial Intelligence - Strategies Applications and Models by Christopher Thornton, Benedict du Boulay