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 233
... factors to rules . • Bayesian networks • Dempster - Shafer theory We also mention one very different numerical approach to uncertainty , fuzzy logic . There ... FACTORS AND RULE - BASED SYSTEMS 233 Certainty Factors and Rule-Based Systems.
... factors to rules . • Bayesian networks • Dempster - Shafer theory We also mention one very different numerical approach to uncertainty , fuzzy logic . There ... FACTORS AND RULE - BASED SYSTEMS 233 Certainty Factors and Rule-Based Systems.
Página 236
... factors . Next let's consider the scenario of Figure 8.1 ( b ) , in which we need to compute the certainty factor of a combination of hypotheses . In particular , this is necessary when we need to know the certainty factor of a rule ...
... factors . Next let's consider the scenario of Figure 8.1 ( b ) , in which we need to compute the certainty factor of a combination of hypotheses . In particular , this is necessary when we need to know the certainty factor of a rule ...
Página 476
... Factor a nonsimple group into simple groups interest : Conjectures tying primes to times , to divisors of , to related ... factors ( known as the Unique Factorization Theorem ) . Since breaking down numbers into multiplicative components ...
... Factor a nonsimple group into simple groups interest : Conjectures tying primes to times , to divisors of , to related ... factors ( known as the Unique Factorization Theorem ) . Since breaking down numbers into multiplicative components ...
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