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Proceedings Paper

Learning the behavior of Boolean circuits from examples using cultural algorithms
Author(s): Robert G. Reynolds; William Sverdlik
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Paper Abstract

In this paper an approach to evolutionary learning based upon principles of cultural evolution is developed. In this dual-inheritance system, there is an evolving population of trait sequences as well as an associated belief space. The belief space is derived from the behavior of individuals and is used to actively constrain the traits acquired in future populations. Shifts in the representation of the belief space and the population are supported. The approach is used to solve several versions of the BOOLE problem; F6, F11, and F20. The results are compared with other approaches and the advantages of a dual inheritance approach using cultural algorithms is discussed.

Paper Details

Date Published: 1 September 1993
PDF: 12 pages
Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); doi: 10.1117/12.150585
Show Author Affiliations
Robert G. Reynolds, Wayne State Univ. (United States)
William Sverdlik, Lawrence Technological Univ. (United States)

Published in SPIE Proceedings Vol. 1962:
Adaptive and Learning Systems II
Firooz A. Sadjadi, Editor(s)

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