DocumentCode
947360
Title
Design principles for an intelligent machine
Author
Maron, M.E.
Volume
8
Issue
5
fYear
1962
fDate
9/1/1962 12:00:00 AM
Firstpage
179
Lastpage
185
Abstract
This paper discusses the role of prediction as the key process underlying the function of an intelligent machine. A model of a "neuron" is presented which exhibits properties of memory and learning. The formalism of the calculus of probability allows us to interpret the behavior of a neuron in such a way as to justify how a network of such elements can be organized so that it can learn to predict.
Keywords
Prediction methods; Brain modeling; Calculus; Circuit simulation; Computational modeling; Computer simulation; Discrete event simulation; Intelligent systems; Learning systems; Machine intelligence; Neurons; Predictive models;
fLanguage
English
Journal_Title
Information Theory, IRE Transactions on
Publisher
ieee
ISSN
0096-1000
Type
jour
DOI
10.1109/TIT.1962.1057751
Filename
1057751
Link To Document