Artificial Intelligence: A Modern Myth |
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Page 67
... concept of intelligence should not tempt us into a denial of its reality . People will not stop behaving intelligently because we refuse to accept the validity of such a characterisation . Of course , even where , in perplexity at the ...
... concept of intelligence should not tempt us into a denial of its reality . People will not stop behaving intelligently because we refuse to accept the validity of such a characterisation . Of course , even where , in perplexity at the ...
Page 122
... concept manipulation in computers . For us , synthesis precedes analysis . The concept is first grasped , then analysed . It is only rarely that we arrive at the concept through the synthesis of the analytic components . Perhaps in ...
... concept manipulation in computers . For us , synthesis precedes analysis . The concept is first grasped , then analysed . It is only rarely that we arrive at the concept through the synthesis of the analytic components . Perhaps in ...
Page 216
... concept . This is because they may lie beyond symbolisation , and may not admit of analytic decomposition , copying and reconstruction . Let me reiterate what I take to be the central point . Primitive concepts are , ipso facto , not ...
... concept . This is because they may lie beyond symbolisation , and may not admit of analytic decomposition , copying and reconstruction . Let me reiterate what I take to be the central point . Primitive concepts are , ipso facto , not ...
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