DocumentCode
1643203
Title
Obtaining system robustness by mimicking natural mechanisms
Author
Zhan, Song ; Miller, Julian F. ; Tyrrell, Andy M.
Author_Institution
Dept. of Electron., Univ. of York, York
fYear
2009
Firstpage
3032
Lastpage
3039
Abstract
Real working agents normally operate in dynamic changing environments. These changes could either affect the efficiency of the agents´ performance or even damage the functionality of the agent. Robustness is the key requirement to solve this problem. Inspired by nature, this paper demonstrates two mechanisms that contribute to individual´s robustness in changing environments: evolution and degeneracy. Through evolution in damaging environment, evolved agents have to cope with changes in the environment and acquire robustness. Through degeneracy, individuals can maintain their fitness even when some damaged parts are involved in system function.
Keywords
evolutionary computation; software agents; agent performance; changing environment; damaging environment; degeneracy; evolution; natural mechanism; real working agents; system function; system robustness; Biological system modeling; Biomembranes; Cells (biology); Circuit synthesis; Electronic circuits; Evolution (biology); Logic gates; Logic programming; Protein engineering; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4983326
Filename
4983326
Link To Document