DocumentCode
463401
Title
IJA Automaton: Expediency and ε-optimality Properties
Author
Iraji, R. ; Manzuri-Shalmani, M.T. ; Jamalian, A.H. ; Beigy, H.
Author_Institution
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran
Volume
1
fYear
2006
fDate
17-19 July 2006
Firstpage
617
Lastpage
622
Abstract
In this paper, we present a new fixed structure learning automaton (FSSA), called IJA, and study its steady state behavior in stationary environments. The proposed automaton characterizes by star shaped transition diagram and each branch of the star contains N states associated with a particular action. This new automaton is an improvement of the Krinsky FSSA and not only ε-optimal and expedient, but also converges to the optimal action faster than the old one
Keywords
diagrams; learning automata; IJA automaton; fixed structure learning automaton; steady state behavior; transition diagram; Biological system modeling; Biology computing; Feedback; Learning automata; Power engineering and energy; Power engineering computing; Pursuit algorithms; Steady-state; Stochastic processes; Tellurium; ε-optimality; FSSA; Learning automata;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0475-4
Type
conf
DOI
10.1109/COGINF.2006.365556
Filename
4216473
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