Title :
Bionic emergent system based on the complex system included nonlinear factor
Author_Institution :
Dept. of Syst. Eng., Ibaraki Univ., Japan
Abstract :
This paper discusses the requirements for evolvability in complex systems as the natural life systems, using the nonlinear system factors as a cannonical example. Adaptive evolution or learning in such bionic emergent system via near mutant variants depends upon the structure of the corresponding “fitness landscape”. In coevolving systems, fitness landscapes themselves deform due to coupling between coevolving partners. Conditions for optimal coevolution may include tuning of landscape structure for the emergence of nonlinear components among the coadapting entities in the systems. These systems are necessary of the generation of emergent properties based on nonlinear behaviors. And so, this behaviors are consisted with nonlinear factors as limit-cycle or chaotic physical process
Keywords :
bifurcation; cellular automata; chaos; computation theory; computational complexity; evolution (biological); large-scale systems; living systems; nonlinear systems; self-adjusting systems; bionic emergent system; cannonical example; chaotic physical process; coadapting entities; complex system; coupling; evolvability; fitness landscape; fitness landscapes; limit-cycle; natural life systems; near mutant variants; nonlinear factor; nonlinear system factors; tuning; Biological information theory; Biology computing; Chaos; Computer aided instruction; Cultural differences; Evolution (biology); Laboratories; Nonlinear systems; Systems engineering and theory; Teleprinting;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Conference_Location :
Hamamatsu
Print_ISBN :
0-7803-1880-3
DOI :
10.1109/IMTC.1994.351895