Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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... Understanding 359 14.1 What Is Understanding ? 359 14.2 What Makes Understanding Hard ? 360 14.3 Understanding as Constraint Satisfaction 367 14.4 Summary 375 14.5 Exercises . 375 15 Natural Language Processing 15.1 Introduction 377 379 ...
... Understanding 359 14.1 What Is Understanding ? 359 14.2 What Makes Understanding Hard ? 360 14.3 Understanding as Constraint Satisfaction 367 14.4 Summary 375 14.5 Exercises . 375 15 Natural Language Processing 15.1 Introduction 377 379 ...
Página 359
Elaine Rich. Chapter 14 Understanding 14.1 What Is Understanding ? To understand something is to transform it from one representation into another , where this second representation has been chosen to ... Understanding What Is Understanding?
Elaine Rich. Chapter 14 Understanding 14.1 What Is Understanding ? To understand something is to transform it from one representation into another , where this second representation has been chosen to ... Understanding What Is Understanding?
Página 379
... understanding and generation , as well as other tasks such as multilingual translation . In this chapter we focus on understanding , although in Section 15.5 we will provide some references to work in these other areas . 15.1 ...
... understanding and generation , as well as other tasks such as multilingual translation . In this chapter we focus on understanding , although in Section 15.5 we will provide some references to work in these other areas . 15.1 ...
Contenido
Weak SlotandFiller Structures | 9 |
6 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Abbott algorithm answer apply approach Artificial Intelligence assertions attributes axioms backpropagation backtracking backward backward reasoning belief best-first search breadth-first search Cabot Caesar Chapter clauses concept consider constraints contains contexts contradiction corresponding define depth-first depth-first search described discussed domain example explicitly fact given goal graph heuristic heuristic function Horn clauses important inference inheritance input instance interpretation justification knowledge base knowledge representation labeled learning logical assertions Marcus match move MYCIN node nonmonotonic reasoning object operators particular path perceptron possible preconditions predicate logic problem problem-solving procedure produce production system PROLOG propagation propositional logic question represent resolution result robot rules Section semantic semantic net sentence shown in Figure simple slot solution solve space specific statements step strategy structure Suppose suspect syntactic task techniques theorem things tree true truth maintenance system variables wff's