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原文連結
論文資訊
- 類型：已發表論文
- 日期：2001
摘要
We study the simple 演化ary process in which we repeatedly find the least fit 智能體 in a 族群 of 智能體s and give it a new fitness, which is chosen independently at random from a specified distribution. We show that many of the average properties of this process can be calculated exactly using analytic methods. In particular, we find the distribution of fitnesses at arbitrary time, and the distribution of the lengths of runs of hits on the same 智能體, the latter being found to follow a 冪次定律 with exponent -1, similar to the distribution of times between 演化ary events in the Bak-Sneppen model and models based on the so-called record dynamics. We confirm our analytic results with extensive numerical simulations.
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