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 415
... recognized as part of going on a trip . • Entities involved in actions . Consider the text My house was broken into last week . They took the TV and the stereo . The pronoun " they " should be recognized as referring to the burglars who ...
... recognized as part of going on a trip . • Entities involved in actions . Consider the text My house was broken into last week . They took the TV and the stereo . The pronoun " they " should be recognized as referring to the burglars who ...
Página 420
... recognize that John had 1. A goal , getting the bike put together . 2. A plan , which involves putting together the various subparts until the bike is complete . At least one of the resulting subplans involves using a screwdriver to ...
... recognize that John had 1. A goal , getting the bike put together . 2. A plan , which involves putting together the various subparts until the bike is complete . At least one of the resulting subplans involves using a screwdriver to ...
Página 566
... recognize continuous speech is very important , however , since humans have difficulty speaking in isolated words . • Real Time versus Offline Processing - Highly interactive applications require that a sentence be translated into text ...
... recognize continuous speech is very important , however , since humans have difficulty speaking in isolated words . • Real Time versus Offline Processing - Highly interactive applications require that a sentence be translated into text ...
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