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 7
... elements ( 39 ) , each element of which is a nine - element vector . To make a move , do the following : 1. View the vector representing the board as a ternary number . Convert it to a decimal number . 2. Use the number computed in step ...
... elements ( 39 ) , each element of which is a nine - element vector . To make a move , do the following : 1. View the vector representing the board as a ternary number . Convert it to a decimal number . 2. Use the number computed in step ...
Página 12
... element's key . Sometimes this key is simply the element itself . This would be done if , for example , the elements being considered were already integers . If the elements are not already in a numeric form , however , they must be ...
... element's key . Sometimes this key is simply the element itself . This would be done if , for example , the elements being considered were already integers . If the elements are not already in a numeric form , however , they must be ...
Página 394
... element to the front of a list . It calls itself recursively until all of the elements of L1 have been attached . The LISP function CAR returns the first element of the list it is given and the function CDR returns the list it is given ...
... element to the front of a list . It calls itself recursively until all of the elements of L1 have been attached . The LISP function CAR returns the first element of the list it is given and the function CDR returns the list it is given ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding variety