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• W4385623402 abstract "Public goods games between model agents with bounded rationality and a simple learning rule, which have been previously shown to represent experimentally observed human playing behaviour, are studied by direct simulation on various lattices with different network topology. Despite strong coupling between playing groups, we find that average investments do not significantly depend upon network topology, but are determined solely by immediate local network environment. Furthermore, the dependence of investments on characteristic agent parameters factorizes into a function of individual cognitive budget, K, and a simple function 1/(1+c(0)/β), where c(0) is the group centrality and β=12.5 for all networks investigated. Given the good agreement of agent behaviour with available experiments, this seems to indicate that even complex societal networks of investment in public goods may be accessible to predictive simulation with limited effort." @default.
• W4385623402 created "2023-08-08" @default.
• W4385623402 creator A5051980333 @default.
• W4385623402 creator A5052429979 @default.
• W4385623402 date "2023-12-01" @default.
• W4385623402 modified "2023-09-23" @default.
• W4385623402 title "Public goods games played on hypergraphs, by agents with bounded learning and planning" @default.
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• W4385623402 doi "https://doi.org/10.1016/j.csfx.2023.100099" @default.
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