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Larger role for randomness in evolution

机译:随机性在进化中的作用更大

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Evolutionary divergence in communication is commonly attributed to habitat or mating differences. Steffen Wischmann et al. (pp. 864-868) used Simula- tions of robots to model complex evolutionary change to separate the role of these pressures from random genetic drift in driving communication evolution. The researchers began with 20 populations of identical robots, each equipped with two wheels, a camera, a food-detection sensor, an information processing program, and a ring that could emit a blue or green light. Each population i was placed in an arena with a food source. The researchers ranked each robot by time spent on the food source, and selected the programs or "genomes" of the 100 most efficient robots for reproduction. The robots' behavior was uncoordinated at first but after 1,000 generations, all 20 populations emit-ted light to indicate food location. In approximately half the populations, the robots emitted a signal only in the presence of food, while the other populations also emitted a different color light in areas without food. The one-signal populations found food faster on average than did the two-signal populations; however, one-signal robots fared the worst in competitions between robots with different strategies.
机译:交流中的进化差异通常归因于栖息地或交配差异。 Steffen Wischmann等。 (pp。864-868)使用机器人的模拟来建模复杂的进化变化,以将这些压力与随机遗传漂移在驱动通信进化中的作用分开。研究人员从20个相同的机器人种群开始,每个机器人配备两个轮子,一个摄像头,一个食物检测传感器,一个信息处理程序以及一个可以发出蓝光或绿光的环。我把每个人口都放在一个有食物来源的竞技场上。研究人员按照在食物上花费的时间对每个机器人进行排名,并从100个效率最高的机器人中选择程序或“基因组”进行繁殖。机器人的行为最初是不协调的,但经过1000代后,所有20个人口都发出了发光的光来指示食物位置。在大约一半的人口中,机器人仅在有食物的情况下发出信号,而其他人口在没有食物的地方也发出不同颜色的光。一信号人口发现食物的平均速度要快于二信号人口。但是,单信号机器人在采用不同策略的机器人之间的竞争最差。

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