Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas A revision of an established text for undergraduate and postgraduate Artificial Intelligence courses, this text incorporates the latest research and methods. |
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Página 29
... Black Black ( 5 4 3 1 a b c 29 1 Problems, Problem Spaces, and Search Defining the Problem as a State Space Search.
... Black Black ( 5 4 3 1 a b c 29 1 Problems, Problem Spaces, and Search Defining the Problem as a State Space Search.
Página 471
... black king and the black queen . Black must move the king , thereby leaving the queen open to capture . From this single experience , Black is able to learn quite a bit about the fork trap : the idea is that if any piece x attacks both ...
... black king and the black queen . Black must move the king , thereby leaving the queen open to capture . From this single experience , Black is able to learn quite a bit about the fork trap : the idea is that if any piece x attacks both ...
Página 473
... Black's king , and Black's queen , each in their specific positions . Operationality is ensured : all chess - playing programs understand the basic concepts of piece and position . Next , the explanation is generalized . Using domain ...
... Black's king , and Black's queen , each in their specific positions . Operationality is ensured : all chess - playing programs understand the basic concepts of piece and position . Next , the explanation is generalized . Using domain ...
Contenido
What Is Artificial Intelligence? | 3 |
5 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
Abbott agents algorithm answer apply approach ARMEMPTY assertions attributes axioms backpropagation backtracking backward belief best-first search breadth-first search Caesar called Chapter chess clauses complete concept conceptual dependency consider constraints contains contradiction corresponding define depth-first depth-first search described discussed domain example fact function game tree goal grammar graph heuristic Horn clauses important inference inheritance input instance interpretation isa links John justification knowledge base knowledge representation labeled learning Marcus match minimax move MYCIN natural language node object ON(B ON(C operators output parsing particular path perceptron perform players possible preconditions predicate logic problem problem-solving procedure produce PROLOG represent result robot rules script Section semantic semantic net sentence shown in Figure simple slot solution solve specific step structure Suppose syntactic task techniques theorem things tree truth maintenance system understanding variables version space