Here you find links to material on probabilistic pragmatics and probabilistic programming (in WebPPL).

Probabilistic pragmatics

Main

Probabilistic Language Understanding: webbook on probabilistic models of pragmatic inference

Caveat: there are (at least) two versions of this book; we will be using only the version accessible through the link above!

Additional

• Pragmatic language interpretation as probabilistic inference: A recent review of the Rational Speech Act framework
• Probabilistic pragmatics, or why Bayes’ rule is probably important for pragmatics: Position piece by Michael Franke and Gerhard Jaeger
• Probabilistic Models of Cognition: An introduction to computational cognitive science and the probabilistic programming language WebPPL
• Modeling Agents with Probabilistic Programs: An introduction to formal models of rational agents using WebPPL
• Forest: A Repository for probabilistic models

Probabilistic programming in WebPPL

Main

• webppl.org: An online editor for WebPPL (use this for development!)
• WebPPL Tutorials: Basic tutorials for WebPPL
• WebPPL documentation

Additional

• The Design and Implementation of Probabilistic Programming Languages: An introduction to probabilistic programming languages, WebPPL in particular
• WebPPL-viz: A summary of the vizualization options in WebPPL
• RWebPPL: If you would rather use WebPPL within R