Artificial Intelligence: A Modern Myth |
From inside the book
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Page 14
... algorithmic solutions in a certain fairly widely understood sense are not of importance in Artificial Intelligence . As Campbell expresses it : If the ' algorithmic ' state of a topic remains fixed for long enough , while humans ...
... algorithmic solutions in a certain fairly widely understood sense are not of importance in Artificial Intelligence . As Campbell expresses it : If the ' algorithmic ' state of a topic remains fixed for long enough , while humans ...
Page 77
... algorithmic process outlined by Alan Turing in his 1936 paper on the foundations of computation ( Turing 1936 ) , where machines are essentially mathematical function tables . Now we have Finite State Automata , Push Down Automata , etc ...
... algorithmic process outlined by Alan Turing in his 1936 paper on the foundations of computation ( Turing 1936 ) , where machines are essentially mathematical function tables . Now we have Finite State Automata , Push Down Automata , etc ...
Page 140
... Algorithmic Beethoven ! Can the complexity , depth and existential mystery of human emotional intelligence really be captured in a computer subroutine ? The trouble is that after reading this kind of material for a while , one begins to ...
... Algorithmic Beethoven ! Can the complexity , depth and existential mystery of human emotional intelligence really be captured in a computer subroutine ? The trouble is that after reading this kind of material for a while , one begins to ...
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