Artificial Intelligence: A Modern Myth |
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Page 27
... Knowledge Representation We have seen that knowledge has emerged as a recurrent core concern in the development of systems to ... knowledge plus the access structure to that knowledge KNOWLEDGE REPRESENTATION 27 Knowledge Representation.
... Knowledge Representation We have seen that knowledge has emerged as a recurrent core concern in the development of systems to ... knowledge plus the access structure to that knowledge KNOWLEDGE REPRESENTATION 27 Knowledge Representation.
Page 30
... knowledge . Issues remaining to be resolved include : Semantics . Knowledge representation formalisms must be well defined . It is necessary that there be a clear semantics for the representation . This has not always been the case ...
... knowledge . Issues remaining to be resolved include : Semantics . Knowledge representation formalisms must be well defined . It is necessary that there be a clear semantics for the representation . This has not always been the case ...
Page 108
... knowledge and that if computers are to exhibit intelligence they must be equipped with extensive knowledge . Further , expertise is usually based on deep knowledge of a narrow domain . Knowledge is required to provide the fertile soil ...
... knowledge and that if computers are to exhibit intelligence they must be equipped with extensive knowledge . Further , expertise is usually based on deep knowledge of a narrow domain . Knowledge is required to provide the fertile soil ...
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