Artificial Intelligence |
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Page 234
... MYCIN rule looks like : If : ( 1 ) the stain of the organism is gram - positive , and ( 2 ) the morphology of the organism is coccus , and ( 3 ) the growth conformation of the organism is clumps , then there is suggestive evidence ( 0.7 ) ...
... MYCIN rule looks like : If : ( 1 ) the stain of the organism is gram - positive , and ( 2 ) the morphology of the organism is coccus , and ( 3 ) the growth conformation of the organism is clumps , then there is suggestive evidence ( 0.7 ) ...
Page 237
... MYCIN are estimates that are given by experts who write the rules , it is not really necessary to state a more ... MYCIN's techniques and those suggested by Bayesian statistics . We argued at the end of the last section that pure ...
... MYCIN are estimates that are given by experts who write the rules , it is not really necessary to state a more ... MYCIN's techniques and those suggested by Bayesian statistics . We argued at the end of the last section that pure ...
Page 552
... MYCIN uses that evidence if it already has access to it . Otherwise , it asks the user to provide the information . In order that MYCIN's requests for information will appear coherent to the user , the actual goals that MYCIN sets up ...
... MYCIN uses that evidence if it already has access to it . Otherwise , it asks the user to provide the information . In order that MYCIN's requests for information will appear coherent to the user , the actual goals that MYCIN sets up ...
Contents
Weak SlotandFiller Structures | 9 |
6 | 24 |
Heuristic Search Techniques | 63 |
Copyright | |
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Common terms and phrases
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