社会网络形成的动态模型
A Dynamic Model of Social Network Formation
摘要：
我们考虑了一个动态的社会网络模型，其中代理人玩重复的游戏，由随机演变的社会网络决定的配对。个体代理开始随机交互，交互被建模为游戏。博弈的收益决定了哪些互动会得到加强，而网络结构则是智能体学习行为的动态结果。我们研究这在各种博弈论的条件下，并表明，行为是复杂的，有时不同的行为在没有结构动态。我们认为，建模网络结构的动态增加现实主义，而不会呈现问题的分析棘手。
英文摘要：
We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The game payoffs determine which interactions are reinforced, and the network structure emerges as a consequence of the dynamics of the agents' learning behavior. We study this in a variety of game-theoretic conditions and show that the behavior is complex and sometimes dissimilar to behavior in the absence of structural dynamics. We argue that modeling network structure as dynamic increases realism without rendering the problem of analysis intractable.
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