Artificial Intelligence: A Modern Myth |
From inside the book
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Page 67
... approach to the definition of intelligence as " what intelligence tests measure " . He is aware of the implied circularity of this definition and attempts , with some success , to rebut such a charge . However he does not refer to ...
... approach to the definition of intelligence as " what intelligence tests measure " . He is aware of the implied circularity of this definition and attempts , with some success , to rebut such a charge . However he does not refer to ...
Page 77
... approach to the solution of all mathematical problems . In fact the desire to develop an algorithmic approach to the solution of a large range of problems goes back at least to Ramon Lull and his design for an Ars Magna " to bring ...
... approach to the solution of all mathematical problems . In fact the desire to develop an algorithmic approach to the solution of a large range of problems goes back at least to Ramon Lull and his design for an Ars Magna " to bring ...
Page 204
... approach admits : Unfortunately , the kinds of networks in which the learning procedure have generally been applied lack some properties that AI researchers working within the symbolic paradigm consider to be essential in a general ...
... approach admits : Unfortunately , the kinds of networks in which the learning procedure have generally been applied lack some properties that AI researchers working within the symbolic paradigm consider to be essential in a general ...
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