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Networks of Artificial Social Interactions

机译:人工社会互动网络

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Evolution of cooperation is a fundamental question of socio-biology. Intrinsic factors like kinship play an important role in cooperation among selfish individuals. External factors like uncertainty and the structure of the social interaction network also contribute significantly to the evolution of cooperation. Here I use agent-based simulations to generate artificial social networks. I show that some of these networks have similar scale-free structure as real social networks. The analysis shows that having agents with memory and with the ability to share their memory through gossiping does not have a significant effect on the scale-free nature of simulated social networks. However the presence of high uncertainty in the cooperation games played by the agents is required for the generation of scale-free social interaction networks.
机译:合作的演变是社会生物学的根本问题。 亲属关系等内在因素在自私人之间的合作中发挥着重要作用。 像不确定的外部因素和社会互动网络的结构也有助于合作的演变。 这里我使用基于代理的模拟来生成人工社交网络。 我表明一些这些网络具有与真正的社交网络相似的无比例结构。 该分析表明,具有记忆的代理和通过闲聊共享记忆的能力对模拟社交网络的无规模性质没有显着影响。 然而,代理商扮演的合作游戏中的高度不确定性的存在是一代无规模的社交互动网络所必需的。

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