Artificial Intelligence: A Modern Myth |
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Page 85
... example in the following : S → aS | bA AaBaC B → bD C → be D → e Thus , for example , it is impossible to tell from an inspection of the string ' babe ' which of the following derivations produced it . S⇒ bA⇒ baB ⇒ babD ⇒ babe ...
... example in the following : S → aS | bA AaBaC B → bD C → be D → e Thus , for example , it is impossible to tell from an inspection of the string ' babe ' which of the following derivations produced it . S⇒ bA⇒ baB ⇒ babD ⇒ babe ...
Page 127
... example containing a similar moral the use of an upside - down watch as a reminder to do something ( Fodor 1976 ) . Again there is no logical relationship between the signal and the event signified . Other examples emerge from a ...
... example containing a similar moral the use of an upside - down watch as a reminder to do something ( Fodor 1976 ) . Again there is no logical relationship between the signal and the event signified . Other examples emerge from a ...
Page 186
... example , in some expert systems . So , is our reading of texts not fully sustainable after all ? Certainly , the example of rule - following provides a clear test for the cogency of our claim that computers are texts . Can the ...
... example , in some expert systems . So , is our reading of texts not fully sustainable after all ? Certainly , the example of rule - following provides a clear test for the cogency of our claim that computers are texts . Can the ...
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