作者: Heather J. Goldsby , David B. Knoester , Charles Ofria
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摘要: Within nature, the success of many organisms, including certain species insects, mammals, slime molds, and bacteria, is attributed to their performance division labor, where individuals specialize on specific roles cooperate survive. The evolution labor challenging study because slow pace biological imperfect historical data. In this paper, we use digital evolve groups clonal organisms that exhibit labor. We then investigate what mechanisms they perform (i.e., location awareness or communication) discover it varies according type being performed. Lastly, created an environment needed complete a set tasks, but could do so as either generalists specialists. varied costs switching tasks determined increased can result in Moreover, group used case exhibited both cooperative problem decomposition, members shared partial solutions solve full problems. This approach has potential inform predictions studies, well achieving when using evolutionary computation more complex engineering