Artificial Intelligence: A Modern Myth |
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Page 67
... attribute , but as a class of overlapping attributes . " ( Tang & Adams 1988 p.12 ) 3.12 Components of Intelligence The approach to definition through cluster concepts is adopted by Tang and Adams in their development of a quorum ...
... attribute , but as a class of overlapping attributes . " ( Tang & Adams 1988 p.12 ) 3.12 Components of Intelligence The approach to definition through cluster concepts is adopted by Tang and Adams in their development of a quorum ...
Page 69
... attributes A and B does not logically force a unifying connection between them . The integration is supplied by the conceptualisation ; it is not inherent in the properties . This is most clearly the case when the most salient ...
... attributes A and B does not logically force a unifying connection between them . The integration is supplied by the conceptualisation ; it is not inherent in the properties . This is most clearly the case when the most salient ...
Page 70
... attributes are overlapping . Even though it makes sense ( after the fact ) to describe intelligence in terms of several attributes , it is surely incontestable that these attributes are not orthogonal , theories of multiple ...
... attributes are overlapping . Even though it makes sense ( after the fact ) to describe intelligence in terms of several attributes , it is surely incontestable that these attributes are not orthogonal , theories of multiple ...
Contents
What is Artificial Intelligence? | 11 |
The Nature of Intelligence | 35 |
What is a Machine? | 75 |
Copyright | |
6 other sections not shown
Common terms and phrases
ability activity algorithmic analysis anthropomorphic approach argued artefacts articulation Artificial Intelligence assumptions attempt attributes belief Boden brain characteristics chess Chinese Room Cognitive Science coherence complex computer system concept connectionism connectionist construction context DENDRAL Dennett domain Dreyfus emerge emotion example existential existential fallacy expectations experience expert systems explicit explore expression fallacy Feigenbaum Fodor formal formalisation framework function fundamental heuristics human intelligence Ibid ineffable intellectual intelligence in machines intentional stance intentional system intentionality interaction with reality interpretation knowledge knowledge representation learning limits logic machine intelligence machine learning manipulation mathematical meaning mechanical mental metaphor mind Minsky natural language networks neural Newell notion object ontology perceptrons performance perhaps phenomena physical physical symbol system possible present problem psychological question rationality reasoning representation rules scientific semantics sense Simon simply solving strong AI structure symbol theory thinking traditional Turing test understanding words