Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 29
Elaine Rich. Chapter 2 Problems , Problem Spaces , and Search In the last chapter , we gave a brief description of the kinds of problems with which AI is ... Problems, Problem Spaces, and Search Defining the Problem as a State Space Search.
Elaine Rich. Chapter 2 Problems , Problem Spaces , and Search In the last chapter , we gave a brief description of the kinds of problems with which AI is ... Problems, Problem Spaces, and Search Defining the Problem as a State Space Search.
Página 32
... problem statement . We have assumed that we can fill a jug from the pump , that we can pour water out of a jug onto the ground , that we can pour water from one jug to another ... Problem 32 CHAPTER 2. PROBLEMS , PROBLEM SPACES , AND SEARCH.
... problem statement . We have assumed that we can fill a jug from the pump , that we can pour water out of a jug onto the ground , that we can pour water from one jug to another ... Problem 32 CHAPTER 2. PROBLEMS , PROBLEM SPACES , AND SEARCH.
Página 35
... problem , producing such a specification is itself a very hard problem . Although our ultimate goal is to be able to solve difficult , unstructured problems , such as natural language understanding , it is useful to explore simpler problems ...
... problem , producing such a specification is itself a very hard problem . Although our ultimate goal is to be able to solve difficult , unstructured problems , such as natural language understanding , it is useful to explore simpler problems ...
Contenido
5 | 24 |
Heuristic Search Techniques | 63 |
Knowledge Representation Issues | 105 |
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 fact frame 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 operators output parsing particular path perceptron perform players possible preconditions predicate logic problem problem-solving procedure produce PROLOG properties 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