Artificial Intelligence: A Modern Myth |
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Page 198
... Perceptrons in 1969 " which sounded the deathbell for research on perceptrons and other related models " ( Pollack 1989 ) . Their careful mathematical analysis exposed the limitations of perceptrons and diverted the interest of most ...
... Perceptrons in 1969 " which sounded the deathbell for research on perceptrons and other related models " ( Pollack 1989 ) . Their careful mathematical analysis exposed the limitations of perceptrons and diverted the interest of most ...
Page 202
... perceptrons . In spite of the fact that the new multilayered systems solved problems which could not be solved by the single - layered perceptron systems , they argue that fundamental limitations still persist . Thus , until there is ...
... perceptrons . In spite of the fact that the new multilayered systems solved problems which could not be solved by the single - layered perceptron systems , they argue that fundamental limitations still persist . Thus , until there is ...
Page 203
... perceptron- type elements , can be made to solve many kinds of small scale problems . Some of those experimenters ... perceptrons will still remain quite pertinent . ( Minsky & Papert 1988 p.251 ) That these criticisms can be mounted ...
... perceptron- type elements , can be made to solve many kinds of small scale problems . Some of those experimenters ... perceptrons will still remain quite pertinent . ( Minsky & Papert 1988 p.251 ) That these criticisms can be mounted ...
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