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- W2155649893 abstract "Abstract We study a model of local evolution in which agents located on a network interact strategically with their neighbours. Strategies are chosen with the help of learning rules that are themselves based on the success of strategies observed in the neighbourhood. Previous work on local evolution assumes fixed learning rules while we study learning rules that are determined endogenously. Simulations indicate that endogenous learning rules put more weight on a learning player’s own experience than on the experience of an observed neighbour. Nevertheless stage game behaviour is similar to behaviour with symmetric learning rules." @default.
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- W2155649893 date "1999-11-01" @default.
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- W2155649893 title "Simultaneous evolution of learning rules and strategies" @default.
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- W2155649893 doi "https://doi.org/10.1016/s0167-2681(99)00069-4" @default.
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