Proceedings of the ... Annual National Conference on Artificial Intelligence, Volume 4, Part 1984AAAI, 1983 - Artificial intelligence |
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Page 89
... rule eliminates the need for more sophisticated rules often used for transition ordering . For example , ( Williams , 1984a ) ( Williams , 1984b ) uses the rule : if x and y are heading for a threshold , and z I f ( y ) holds at the ...
... rule eliminates the need for more sophisticated rules often used for transition ordering . For example , ( Williams , 1984a ) ( Williams , 1984b ) uses the rule : if x and y are heading for a threshold , and z I f ( y ) holds at the ...
Page 128
... rule " if x is a bird , then x can fly " will be represented as ( ( ( isa x birds ) ) ( isa x flyers ) ( .9 .02 ) ) . ( 9 ) The antecedent list consists of the single arc ( isa x birds ) . The consequent is ( isa x flyers ) , with ...
... rule " if x is a bird , then x can fly " will be represented as ( ( ( isa x birds ) ) ( isa x flyers ) ( .9 .02 ) ) . ( 9 ) The antecedent list consists of the single arc ( isa x birds ) . The consequent is ( isa x flyers ) , with ...
Page 134
... rule ; that fires when no ; other normal action ; rules fire . ; This rule repeatedly ; fires and removes all ; garbage as an atomic ; procedure , at high ; priority . ; This rule removes the ; IN - CLEAN - UP task which ; is now ...
... rule ; that fires when no ; other normal action ; rules fire . ; This rule repeatedly ; fires and removes all ; garbage as an atomic ; procedure , at high ; priority . ; This rule removes the ; IN - CLEAN - UP task which ; is now ...
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abstraction action activities algorithm analysis AND/OR graph applied approach Artificial Intelligence assumptions behavior best-first searches Carnegie-Mellon University certainty function chunking clause cognitive Computer Science concept Conference on Artificial constraints construct context curve defined depth-first search derivatives described domain equations example expert system facts Figure fractal frame goal heuristic hypothesis implemented inference input instantiation interpretation knowledge base Knowledge Representation learning LISP list of knots logic machine Machine Learning match meaning nodes method natural language nodes objects operator OPS5 output paper parallel parameters parser path performance possible predicate problem solving procedure processors production system qualitative reasoning reference relation representation represented Research robot rules selection semantic semantic network sentence sequence solution tree specific SRI International structure subgoal subset surface syntactic task techniques theorem theory tion transition tutor University values variables zero