Artificial Intelligence: A Modern Myth |
From inside the book
Results 1-3 of 57
Page xii
... fundamental terms are inexact , e.g. meaning , understanding , intelligence , consciousness , etc. , and do not admit of precise or computationally tractable definition . Such an admission of ineluctable imprecision may invite a ...
... fundamental terms are inexact , e.g. meaning , understanding , intelligence , consciousness , etc. , and do not admit of precise or computationally tractable definition . Such an admission of ineluctable imprecision may invite a ...
Page 56
... fundamental association of intelligence with a concept of mind , even if the precise nature of the relationship between the two concepts is difficult to pin down whether it is one of identity , or causality , or dependence or whatever ...
... fundamental association of intelligence with a concept of mind , even if the precise nature of the relationship between the two concepts is difficult to pin down whether it is one of identity , or causality , or dependence or whatever ...
Page 166
... fundamental categories of experiencing in order to see more precisely what is involved . We do not need to agree that , for example , Aristotle's categories provide an accurate or comprehensive characterisation of the bedrock of ...
... fundamental categories of experiencing in order to see more precisely what is involved . We do not need to agree that , for example , Aristotle's categories provide an accurate or comprehensive characterisation of the bedrock of ...
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