Artificial IntelligenceA revision of an established text for undergraduate and postgraduate Artificial Intelligence courses, this text incorporates the latest research and methods. |
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Page 388
... Parse Tree for a Sentence • Top - Down Parsing - Begin with the start symbol and apply the grammar rules forward until the symbols at the terminals of the tree correspond to the components of the sentence being parsed . • Bottom - Up ...
... Parse Tree for a Sentence • Top - Down Parsing - Begin with the start symbol and apply the grammar rules forward until the symbols at the terminals of the tree correspond to the components of the sentence being parsed . • Bottom - Up ...
Page 400
... parsing , in which syntactic and semantic knowledge are combined into a single interpretation system that is driven by the semantic knowledge . In this approach , syntactic parsing is subordinated to semantic interpretation , which is ...
... parsing , in which syntactic and semantic knowledge are combined into a single interpretation system that is driven by the semantic knowledge . In this approach , syntactic parsing is subordinated to semantic interpretation , which is ...
Page 406
... Parsing Conceptual parsing , like semantic grammars , is a strategy for finding both the structure and the meaning of a sentence in one step . Conceptual parsing is driven by a dictionary that describes the meanings of words as ...
... Parsing Conceptual parsing , like semantic grammars , is a strategy for finding both the structure and the meaning of a sentence in one step . Conceptual parsing is driven by a dictionary that describes the meanings of words as ...
Contents
What Is Artificial Intelligence? | 3 |
5 | 24 |
Heuristic Search Techniques | 63 |
Copyright | |
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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