Search Results for author: Jacob Taylor

Found 2 papers, 0 papers with code

An active inference model of collective intelligence

no code implementations2 Apr 2021 Rafael Kaufmann, Pranav Gupta, Jacob Taylor

In this paper we use the Active Inference Formulation (AIF), a framework for explaining the behavior of any non-equilibrium steady state system at any scale, to posit a minimal agent-based model that simulates the relationship between local individual-level interaction and collective intelligence (operationalized as system-level performance).

Learning Stochastic Inverses

no code implementations NeurIPS 2013 Andreas Stuhlmüller, Jacob Taylor, Noah Goodman

We describe a class of algorithms for amortized inference in Bayesian networks.

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