A pragmatic account of the weak evidence effect

1 code implementation • 7 Dec 2021 • Samuel A. Barnett, Thomas L. Griffiths, Robert D. Hawkins

Here, we extend recent probabilistic models of recursive social reasoning to allow for persuasive goals and show that our model provides a pragmatic account for why weakly favorable arguments may backfire, a phenomenon known as the weak evidence effect.

Decision Making

Convergence Problems with Generative Adversarial Networks (GANs)

no code implementations • 29 Jun 2018 • Samuel A. Barnett

Generative adversarial networks (GANs) are a novel approach to generative modelling, a task whose goal it is to learn a distribution of real data points.