Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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Página 151
... clause . In order for a wff to be true , all the clauses that are generated from it must be true . If we are going to be working with several wff's , all the clauses generated by each of them can now be combined to represent the same ...
... clause . In order for a wff to be true , all the clauses that are generated from it must be true . If we are going to be working with several wff's , all the clauses generated by each of them can now be combined to represent the same ...
Página 153
... clause form . 2. Negate S and convert the result to clause form . Add it to the set of clauses obtained in step 1 . 3. Repeat until either a contradiction is found or no progress can be made : 1. Select two clauses . Call these the parent ...
... clause form . 2. Negate S and convert the result to clause form . Add it to the set of clauses obtained in step 1 . 3. Repeat until either a contradiction is found or no progress can be made : 1. Select two clauses . Call these the parent ...
Página 158
... clause form . Add it to the set of clauses obtained in 1 . 3. Repeat until either a contradiction is found , no progress can be made , or a predetermined amount of effort has been expended : 1. Select two clauses . Call these the parent ...
... clause form . Add it to the set of clauses obtained in 1 . 3. Repeat until either a contradiction is found , no progress can be made , or a predetermined amount of effort has been expended : 1. Select two clauses . Call these the parent ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex