Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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... Chapter 10 Perception 345 10.1 Why Is Perception Hard ? 345 10.2 Techniques Used in Solving Perceptual Problems 349 10.3 Constraint Satisfaction - The Waltz Algorithm 351 10.4 Summary 358 10.5 Exercises 359 Chapter 11 Learning 361 11.1 ...
... Chapter 10 Perception 345 10.1 Why Is Perception Hard ? 345 10.2 Techniques Used in Solving Perceptual Problems 349 10.3 Constraint Satisfaction - The Waltz Algorithm 351 10.4 Summary 358 10.5 Exercises 359 Chapter 11 Learning 361 11.1 ...
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... chapter , we will discuss ways in which large problem- solving systems can be constructed out of the building blocks we have already discussed . 8.1 PLANNING In Chapter 2 , we described the process of problem solving as a search through ...
... chapter , we will discuss ways in which large problem- solving systems can be constructed out of the building blocks we have already discussed . 8.1 PLANNING In Chapter 2 , we described the process of problem solving as a search through ...
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... Chapter 1. ) Morrison , P. & E. Morrison , Charles Babbage and His Calculating Engines , Dover , 1961 , pp . 248 , 284. ( Quotations appear in Chapter 1. ) Weizenbaum , J. , “ ELIZA — A Computer Program for the Study of Natural Language ...
... Chapter 1. ) Morrison , P. & E. Morrison , Charles Babbage and His Calculating Engines , Dover , 1961 , pp . 248 , 284. ( Quotations appear in Chapter 1. ) Weizenbaum , J. , “ ELIZA — A Computer Program for the Study of Natural Language ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex