Artificial Intelligence: A Modern Myth |
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Page 2
... ontological status of computers . - Our interest will essentially be focussed on the question , ' What is it to be a computer ... ontology of human and machine . The primary concern of this study is to call into question the assumptions ...
... ontological status of computers . - Our interest will essentially be focussed on the question , ' What is it to be a computer ... ontology of human and machine . The primary concern of this study is to call into question the assumptions ...
Page 185
... ontology . So , frustratingly , in spite of the centrality of meaning in our lives it eludes formal representation and it slips through our attempts to define it . The inescapable feature of meaning in human ontology seems to be that ...
... ontology . So , frustratingly , in spite of the centrality of meaning in our lives it eludes formal representation and it slips through our attempts to define it . The inescapable feature of meaning in human ontology seems to be that ...
Page 225
... ontology of computers : ( 1 ) the computer as symbol processor ( 2 ) the computer as agent . The principal point of the argument in this work is to confront these two views and expose their sophistic nature . The description symbol ...
... ontology of computers : ( 1 ) the computer as symbol processor ( 2 ) the computer as agent . The principal point of the argument in this work is to confront these two views and expose their sophistic nature . The description symbol ...
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