Artificial Intelligence: A Modern Myth |
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Page 28
... ( Newell 1981 p.42 ) . In common with other workers in the field , Newell wisely skirts the central question and concentrates on representation issues . This is fine if all one is seeking is a viable engineering determinant . The danger ...
... ( Newell 1981 p.42 ) . In common with other workers in the field , Newell wisely skirts the central question and concentrates on representation issues . This is fine if all one is seeking is a viable engineering determinant . The danger ...
Page 106
... ( Newell , Shaw & Simon 1963 p.109 ) From then on heuristics became the central feature in the attempt to mechanise the processes of human thinking . Newell , Shaw and Simon themselves went on to develop a program called General Problem ...
... ( Newell , Shaw & Simon 1963 p.109 ) From then on heuristics became the central feature in the attempt to mechanise the processes of human thinking . Newell , Shaw and Simon themselves went on to develop a program called General Problem ...
Page 133
... Newell and Simon mean by a physical symbol system . A physical symbol system consists of a set of entities , called symbols , which are physical patterns that can occur as components of another type of entity called an expression ( or ...
... Newell and Simon mean by a physical symbol system . A physical symbol system consists of a set of entities , called symbols , which are physical patterns that can occur as components of another type of entity called an expression ( or ...
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