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- W4310973859 abstract "Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistically link cognitive processes at the individual and collective levels. We illustrate the strength of this cognitive computational approach with two highly successful cognitive models that have been applied to interactive group experiments: evidence accumulation and reinforcement learning models. We show how these approaches make it possible to simultaneously study (i) how individual cognition drives social systems, (ii) how social systems drive individual cognition, and (iii) the dynamic feedback processes between the two layers." @default.
- W4310973859 created "2022-12-21" @default.
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- W4310973859 date "2022-12-09" @default.
- W4310973859 modified "2023-10-17" @default.
- W4310973859 title "A cognitive computational approach to social and collective decision-making" @default.
- W4310973859 doi "https://doi.org/10.31219/osf.io/7aykm" @default.
- W4310973859 hasPublicationYear "2022" @default.
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