Artificial Intelligence: A Modern Myth |
From inside the book
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Page 3
... human intelligence , the awareness of which is actually sharpened and deepened by a radical interpretation and appraisal of the Artificial Intelligence enterprise . Certainly it is frequently useful and economical and conceptually ...
... human intelligence , the awareness of which is actually sharpened and deepened by a radical interpretation and appraisal of the Artificial Intelligence enterprise . Certainly it is frequently useful and economical and conceptually ...
Page 13
... human intelligence , such as meaningful processing of natural language , learning , intelligent inferencing , and so on . It is not clear from the definition whether the aim is to develop a single system which will capture the entire ...
... human intelligence , such as meaningful processing of natural language , learning , intelligent inferencing , and so on . It is not clear from the definition whether the aim is to develop a single system which will capture the entire ...
Page 36
... Intelligence is seen to be largely concerned with the design of systems to solve practical problems . Although the solutions to these problems by humans draw upon their intellectual capacities there is no logical mimetic imperative to use ...
... Intelligence is seen to be largely concerned with the design of systems to solve practical problems . Although the solutions to these problems by humans draw upon their intellectual capacities there is no logical mimetic imperative to use ...
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