Abstract
The paper presents a model for associative memory, based on the idea of a roaming random set. It is very robust, at the expense of quite some redundancy. Thinking, consciousness and various features of memory can be interpre- Ted in terms of the memory model. Like in the von Neumann computer the larger part of operational routines can be stored in the same memory they operate on. The modeling does not directly build on what is actually known from cell biology and biochemistry, but was certainly inspired by it. The aut- hor believes that it is not entirely impossible that it presents an overall description of the mind of biological systems like ourselves. © Springer-Verlag Berlin Heidelberg 1999.
Cite
CITATION STYLE
De Bruijn, N. G. (1999). A model for associative memory, a basis for thinking and consciousness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1644 LNCS, pp. 74–89). Springer Verlag. https://doi.org/10.1007/3-540-48523-6_6
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