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
来源：
NEURAL NETWORKS | 2005年 / 18卷 / 02期
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.
引用
收藏
页码：111 / 115
页数：5
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