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Quantifying Human Priors over Social and Navigation Networks
March 1, 2024, 5:42 a.m. | Gecia Bravo-Hermsdorff
cs.LG updates on arXiv.org arxiv.org
Abstract: Human knowledge is largely implicit and relational -- do we have a friend in common? can I walk from here to there? In this work, we leverage the combinatorial structure of graphs to quantify human priors over such relational data. Our experiments focus on two domains that have been continuously relevant over evolutionary timescales: social interaction and spatial navigation. We find that some features of the inferred priors are remarkably consistent, such as the tendency …
abstract arxiv cs.ai cs.lg cs.si data domains focus graphs human knowledge navigation networks physics.soc-ph q-bio.nc relational social stat.me type work
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