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The Effect of Social Information Use without Learning on the Evolution of Social Behavior
Artificial Life ( IF 1.6 ) Pub Date : 2021-02-01 , DOI: 10.1162/artl_a_00328
James M Borg 1 , Alastair Channon 1
Affiliation  

In a recent article by Borg and Channon it was shown that social information alone, decoupled from any within-lifetime learning, can result in improved performance on a food-foraging task compared to when social information is unavailable. Here we assess whether access to social information leads to significant behavioral differences both when access to social information leads to improved performance on the task, and when it does not: Do any behaviors resulting from social information use, such as movement and increased agent interaction, persist even when the ability to discriminate between poisonous and non-poisonous food is no better than when social information is unavailable? Using a neuroevolutionary artificial life simulation, we show that social information use can lead to the emergence of behaviors that differ from when social information is unavailable, and that these behaviors act as a promoter of agent interaction. The results presented here suggest that the introduction of social information is sufficient, even when decoupled from within-lifetime learning, for the emergence of pro-social behaviors. We believe this work to be the first use of an artificial evolutionary system to explore the behavioral consequences of social information use in the absence of within-lifetime learning.

中文翻译:

不学习的社会信息使用对社会行为演变的影响

在 Borg 和 Channon 最近的一篇文章中表明,与社会信息不可用时相比,单独的社会信息与任何一生中的学习脱钩,可以提高食物觅食任务的表现。在这里,我们评估访问社会信息是否会导致显着的行为差异,无论是在访问社会信息导致提高任务绩效时,还是当它没有时: 做任何由社会信息使用导致的行为,例如移动和增加代理交互即使区分有毒食物和无毒食物的能力并不比无法获得社会信息时更好?使用神经进化人工生命模拟,我们表明,社会信息的使用会导致与社会信息不可用时不同的行为的出现,并且这些行为充当代理交互的促进者。这里呈现的结果表明,即使与一生中的学习脱钩,社会信息的引入也足以促进亲社会行为的出现。我们相信这项工作是首次使用人工进化系统来探索在没有终生学习的情况下使用社会信息的行为后果。
更新日期:2021-02-01
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