Artificial Intelligence: A Modern Myth |
From inside the book
Results 1-3 of 21
Page 202
... networks by Minsky and Papert in an epilogue to a new edition of their book on perceptrons . In spite of the fact that the new multilayered systems solved problems which could not be solved by the single - layered perceptron systems ...
... networks by Minsky and Papert in an epilogue to a new edition of their book on perceptrons . In spite of the fact that the new multilayered systems solved problems which could not be solved by the single - layered perceptron systems ...
Page 208
... network modelling relies crucially on the assumption that synaptic plasticity is a ( or perhaps the ) key component in the remarkable adaptive behaviour of biological networks . The various unrealistic simplifications made in the ...
... network modelling relies crucially on the assumption that synaptic plasticity is a ( or perhaps the ) key component in the remarkable adaptive behaviour of biological networks . The various unrealistic simplifications made in the ...
Page 210
... networks it is usual to consider only functionally identical neurons with technology - limited interconnections . It is known that in human brains there are many different neurons interconnected by many thousands of paths . Even the ...
... networks it is usual to consider only functionally identical neurons with technology - limited interconnections . It is known that in human brains there are many different neurons interconnected by many thousands of paths . Even 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