Summary
The excellent information processing in a human brain is considered to depend upon its association mechanisms. To simulate this function, we propose in this paper a model of the neural network named “Associatron” which operates like a human brain in some points. Associatron stores many entities at the same place of its structure, and recalls the whole of any entity from a part of it. From that mechanism some properties are derived, which are expected to be utilized for human-like information processing. After the properties of the model have been analyzed, an Associatron with 180 neurons is simulated by a computer and is applied to simple examples of concept formation and game playing. Hardware realization of an Associatron with 25 neurons and thinking process by the sequence of associations are mentioned, too.
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References
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© 1971 Plenum Press, New York
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Nakano, K. (1971). Learning Process in a Model of Associative Memory. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_15
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DOI: https://doi.org/10.1007/978-1-4615-7566-5_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-7568-9
Online ISBN: 978-1-4615-7566-5
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