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 293
... edge base must make . Other problems arise in the representation of space , causality , structures , and the persistence of objects through time . We return to some of these issues in Chapter 19 . 10.3.5 Tools CYC is a multi - user ...
... edge base must make . Other problems arise in the representation of space , causality , structures , and the persistence of objects through time . We return to some of these issues in Chapter 19 . 10.3.5 Tools CYC is a multi - user ...
Página 368
... Edge - A boundary between objects , or between objects and the background • A Concave Edge - An edge between two faces that form an acute angle when viewed from outside the object • A Convex Edge - An edge between two faces that form an ...
... Edge - A boundary between objects , or between objects and the background • A Concave Edge - An edge between two faces that form an acute angle when viewed from outside the object • A Convex Edge - An edge between two faces that form an ...
Página 566
... Edge and region detection are computationally intensive processes , but ones that can be readily mapped onto parallel hardware . The next step is to infer 3 - D orientations for the various regions . Texture , illumination , and range ...
... Edge and region detection are computationally intensive processes , but ones that can be readily mapped onto parallel hardware . The next step is to infer 3 - D orientations for the various regions . Texture , illumination , and range ...
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