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Cogent confabulation
被引:35
|作者:
Hecht-Nielsen, R
[1
]
机构:
[1] Univ Calif San Diego, Dept Elect & Comp Engn, Inst Neural Computat, La Jolla, CA 92093 USA
关键词:
vertebrate cognition;
symbolic representations;
attractor neural network;
cogency;
confabulation;
duck test;
inductive logic;
Al;
D O I:
10.1016/j.neunet.2004.11.003
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
A new model of vertebrate cognition is introduced: maximization of cogency p(alpha beta gamma delta vertical bar epsilon). This model is shown to be a direct generalization of Aristotelian logic, and to be rigorously related to a calculable quantity. A key aspect of this model is that in Aristotelian logic information environments it functions logically. However, in non-Aristotelian environments, instead of finding the conclusion with the highest probability of being true (a popular past model of cognition); this model instead functions in the manner of the 'duck test;' by finding that conclusion which is most supportive of the truth of the assumed facts. (c) 2004 Elsevier Ltd. All rights reserved.
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页码:111 / 115
页数:5
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