Adaptation and survivors in a random Boolean network.
We introduce the competitive agent with imitation strategy in a random Boolean network, in which the agent plays a competitive game that rewards those in minority. After a long time interval, the worst performer changes its strategy to the one of the best and the process is repeated. The network, initially in a chaotic state, evolves to an intermittent state and finally reaches a frozen state. Time series of survived species (whose strategies are imitated by other agents) in the system depend on the connectivity of each agent. In a system with various connectivity groups, the low connectivity groups win the minority game over the high connectivity groups. We also compared the result with mutation strategy system.
Nakamura
Ikuo
I
Sony Corporation, 2-10-14 Osaki, Shinagawa, Tokyo, Japan.
D000223:Adaptation, Psychological; D005717:Games, Experimental; D017059:Models, Econometric; D008960:Models, Psychological; D016571:Neural Networks, Computer; D012942:Social Sciences / Q000379:methods / Q000706:statistics & numerical data; D017741:Survivors / Q000706:statistics & numerical data*