Artificial Intelligence: A Modern Myth |
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Page 25
... emerge : Unfortunately , most of those attempts failed to produce systems of any complexity of intelligence . ( Barr & Feigenbaum 1982 p.325 Handbook of Artificial Intelligence Vol . 3 ) Further , some influential theoretical work by ...
... emerge : Unfortunately , most of those attempts failed to produce systems of any complexity of intelligence . ( Barr & Feigenbaum 1982 p.325 Handbook of Artificial Intelligence Vol . 3 ) Further , some influential theoretical work by ...
Page 204
... emerge . In so doing it hopes to take account of those ineffable underpinnings which are fundamental to the exercise of human intelligence , underpinnings which emerge from our experiencing the world , but which are beyond the reach of ...
... emerge . In so doing it hopes to take account of those ineffable underpinnings which are fundamental to the exercise of human intelligence , underpinnings which emerge from our experiencing the world , but which are beyond the reach of ...
Page 211
... emerge . The latter hope is essentially based on the argument : intelligence arises in a brain a brain is a highly connected material structure therefore , intelligence will arise in a suitably similarly connected material structure ...
... emerge . The latter hope is essentially based on the argument : intelligence arises in a brain a brain is a highly connected material structure therefore , intelligence will arise in a suitably similarly connected material structure ...
Contents
What is Artificial Intelligence? | 11 |
The Nature of Intelligence | 35 |
What is a Machine? | 75 |
Copyright | |
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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