Artificial Intelligence: A Modern Myth |
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Page 48
... cognitive ability which could be identified by suitable tests as an all important ' g ' factor . Possession of high ' g ' would be associated with success on a wide range of intellectual tests . In addition to general cognitive ability ...
... cognitive ability which could be identified by suitable tests as an all important ' g ' factor . Possession of high ' g ' would be associated with success on a wide range of intellectual tests . In addition to general cognitive ability ...
Page 55
... cognitive systems . ( b ) That there is some ( more or less a priori ) reason to believe that cognitive systems which do not belong to that functionally defined subset may be , in important respects , non modular ( e.g. mediated by ...
... cognitive systems . ( b ) That there is some ( more or less a priori ) reason to believe that cognitive systems which do not belong to that functionally defined subset may be , in important respects , non modular ( e.g. mediated by ...
Page 95
... cognition , between emotions and problem solving , between feelings and thinking ? What are the theoretical primitives of emotion ? Even if we had a set of formulae expressing cognitive activities as functions of emotional parameters it ...
... cognition , between emotions and problem solving , between feelings and thinking ? What are the theoretical primitives of emotion ? Even if we had a set of formulae expressing cognitive activities as functions of emotional parameters it ...
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