Transfer Learning for Human & AI

Recent advances in computational cognitive science have paved the way for significant progress in formal,implementable models of pragmatics . These models formalize and implement one, deriving both qualitative and quantitative predictions of human behavior . The current paper provides a practical introduction to and criticalassessment of the Bayesian Rational Speech Act modeling framework, unpacking theoretical foundations, exploring technological innovations, and drawingconnections to issues beyond current applications .

Author(s) : Gregory Scontras, Michael Henry Tessler, Michael Franke

Links : PDF - Abstract

Code :


Keywords : current - framework - introduction - rational - speech -

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