University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Emergence of social networks from cooperative interactions

Emergence of social networks from cooperative interactions

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If you have a question about this talk, please contact Leandro Minku.

Traditional game-theoretic models of cooperative behaviour assume complete mixing: the probability that x interacts with y is the same for all y. In contrast, recent models emphasise the importance of interactions occurring over networks and the resulting effect on cooperative outcomes. Many of these models assume that the process of network formation is exogenous (eg preferential attachment), or alternatively that the network structure is endogenous but explicit: agents have full knowledge of their own edges which they can manipulate strategically. In contrast, in this talk I introduce a model of cooperation in which network structures emerge from the low-level interactions between agents. This model gives rise to networks whose network properties change dynamically over time, which is consistent with longitudinal studies of social networks in human societies.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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