DocumentCode
2324525
Title
Evolutionary system: structures and functions. Disparity hypothesis and gene duplication
Author
Wada, Ken-Nosuke ; Wada, Yoshiko ; Doi, Hirofumi ; Tanaka, Shin-Ichi ; Furusawa, Mitsuru
Author_Institution
Dept. of Evolutionary Syst., ATR Human Inf. Processing Res. Labs., Kyoto, Japan
fYear
1994
fDate
27-29 Jun 1994
Firstpage
796
Abstract
We propose “Evolutionary System Theory” as a unified approach practically applicable for the real world problems such as real-time adaptive control and mass genetic information analysis. We also propose “Disparity Hypothesis” on the gene replication mechanism of an organism with double stranded DNA that postulates the disparity of fidelity between replication error on leading strand and on lagging strand. Our assertion is that by taking advantages of the disparity an organism could evolve rapidly and acquire robustness even under fluctuating environmental conditions. To investigate how the disparity model works under fluctuating environment, we apply it to two dimensional maximum search problems with multi-peaks and diastrophism, and show that conservative and radical offsprings can be bred together and population can dynamically adapt. In addition, we focus on the mechanism of gene duplication and alternative (selective) splicing so that a system can follow up, adapt to a constantly fluctuating environment, and dynamically expand its own description of specification according to the environment. By introducing the proposed genetic mechanisms into an evolutionary mechanism of machines, we can construct a system which inherits functions from the former generation and develops complexity
Keywords
artificial intelligence; biocybernetics; evolution (biological); genetic algorithms; search problems; diastrophism; disparity hypothesis; evolutionary mechanism; evolutionary system; fluctuating environmental conditions; gene duplication; gene replication mechanism; genetic mechanisms; mass genetic information analysis; maximum search problems; multi-peaks; real-time adaptive control; robustness; Adaptive control; Bioinformatics; Evolution (biology); Genetics; Genomics; Humans; Information processing; Laboratories; Organisms; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1899-4
Type
conf
DOI
10.1109/ICEC.1994.349954
Filename
349954
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