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Open
synchronous cellular learning automata
Beigy,
H. (Dept. of Comput. Eng., Amirkabir
Univ. of Technol., Tehran, Iran); Meybodi,
M.R. Source: The 8th World
Multi-Conference on Systemics, Cybernetics and Informatics,
2004, pt. 16, 9-14 Vol. 16
Conference: The 8th World
Multi-Conference on Systemics, Cybernetics and Informatics, 18-21
July 2004 , Orlando, FL, USA
Publisher: IIIS, Orlando,
FL, USA
Abstract: In this paper, we
introduce open cellular learning automata and then study its
convergence behavior. It is shown that for a class of rules called
commutative rules, the open cellular learning automata in stationary
external environments converge to a stable and compatible
configuration. The numerical result also confirms the
theory (6 refs.)
Inspec controlled terms: cellular
automata - learning
automata - probability
Classification Code:
C4220 Automata theory -
C1230L Learning in AI -
C1140Z Other topics in statistics
Database: Inspec
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