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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Página 347
... shows a spectrogram produced by the beginning of the utterance " Alpha gets alpha minus beta . " A spectogram shows how the sound energy is distributed over the auditory frequency range as a func- tion of time . In this example , you ...
... shows a spectrogram produced by the beginning of the utterance " Alpha gets alpha minus beta . " A spectogram shows how the sound energy is distributed over the auditory frequency range as a func- tion of time . In this example , you ...
Página 352
... shows examples of trihedral figures . Figure 10-8 shows examples of nontrihedral figures . Determining the Constraints The problem we are trying to solve is to recognize individual objects in a figure . To do that , we intend first to ...
... shows examples of trihedral figures . Figure 10-8 shows examples of nontrihedral figures . Determining the Constraints The problem we are trying to solve is to recognize individual objects in a figure . To do that , we intend first to ...
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... shows additional examples of KRL UNITS . The UNIT Person shows how default information is represented . The UNIT Traveller shows how knowledge about possible slot values is described . The UNIT G0043 shows how incomplete information can ...
... shows additional examples of KRL UNITS . The UNIT Person shows how default information is represented . The UNIT Traveller shows how knowledge about possible slot values is described . The UNIT G0043 shows how incomplete information can ...
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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