Artificial Intelligence: A Modern Myth |
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Page 4
... argument will be set out below . Chapter 6 presents a summary together with a restatement of the discussion and some ... ( argued ) differences between human and machine , and ( perhaps more politically ) bring about the likelihood of a ...
... argument will be set out below . Chapter 6 presents a summary together with a restatement of the discussion and some ... ( argued ) differences between human and machine , and ( perhaps more politically ) bring about the likelihood of a ...
Page 129
... argued that it is incoherent to apply notions such as understanding , meaning and intelligence to computers at present and may forever remain so . Some of the sources of confusion regarding the nature of computers is examined . Chief ...
... argued that it is incoherent to apply notions such as understanding , meaning and intelligence to computers at present and may forever remain so . Some of the sources of confusion regarding the nature of computers is examined . Chief ...
Page 209
... argued that only an unknown minuscule fraction of these processing patterns is available for the evolution - constrained activity of the living brain . It is revealing to note that all the current major projects to design and build ...
... argued that only an unknown minuscule fraction of these processing patterns is available for the evolution - constrained activity of the living brain . It is revealing to note that all the current major projects to design and build ...
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