By Yoav Shoham
Man made Intelligence recommendations in Prolog
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Extra info for Artificial Intelligence Techniques in Prolog
Meta_rev( Β ), meta_rev( A ). , A. meta_rev( A ) :- clause( A, Β ), meta_rev( Β ). Note t h a t this meta-interpreter is obtained from the standard one by simply permuting the two conjuncts in the body of the first clause. Now, although this interpreter is not particularly important, it does have an interesting property. Consider any sorting program, say the following one implementing the insertion sort algorithm (this one is taken from ): isort( [ X I Xs ], Ys ) :- isort( Xs, Zs ), insert( X, Zs, Ys ).
Similarly, if we are guaranteed strong admissibility then we should use the third version, and if the graph is a tree then we should use the fourth, most concise version. 40 Chapter 2. 1 mentioned that adversarial situations, such as in game playing, can often be represented as game trees. Nodes in the tree represent the situation (for example, a board position in chess), and arcs represent possible actions of each player. Arcs emanating from max-nodes correspond to choices available to one player, and arcs emanating from ram-nodes correspond to choices available to the second player.
1 and will not consider special Prolog features such as all-solutions operations or !. We start with 3 I n addition, in Prologs that distinguish between dynamic and static predicates, the predicates abs / 2, meta / 1, meta_cut / 2 and system / 1 must be declared dynamic. 56 Chapter 3. Backward-Chaining Methods a modified interpreter t h a t is little more t h a n an exercise, in order to illustrate the ease of designing new meta-interpreters. In this first modified meta-interpreter we simply replace the left-to-right search of the and nodes by a right-to-left order, retaining the left-to-right search of the or nodes (where we still exclude the operator, but refer to clause-level or).
Artificial Intelligence Techniques in Prolog by Yoav Shoham