Probabilistic pragmatics bibliography

Pragmatics is the study of human communication in context. A tremendous amount of experimental and theoretical work has been done on pragmatics since Grice's seminal statement of the cooperative principle. In recent years, a number of people have been working on a new set of formal models of pragmatics, using probabilistic methods and approaches from game theory to quantify human pragmatic reasoning. 

This post is an incomplete bibliography of some of the recent work following this approach. My goal in compiling this bibliography is primarily personal: I want to keep track of this growing literature and the different branches it's taken. I've primarily included research that is either formal/computational in nature, or based directly on formal models. Please let me know in the comments or by email if you have work that you would like added here.

Probabilistic Models and Experimental Tests
One flaw in this literature is that right now there's no one good paper to look at for an intro. The first paper on this list is (IMO) a good introduction, but it's only a page long, so if you want details you have to look elsewhere. 

• Frank, M. C., & Goodman, N. D. (2012). Predicting pragmatic reasoning in language games. Science, 336, 998.
• Approximate inference: Vogel, A., Goméz Emilsson, A., Frank, M. C., Jurafsky, D., & Potts, C. (2014). Learning to reason pragmatically with cognitive limitations. Proc CogSci. 
• Levels of implicature: Degen, J. & Franke, M. (2012). Optimal Reasoning About Referential Expressions. Proc SeineDial.
• Deriving implicatures from autonomous agents. Vogel, A., Potts, C. & Jurafsky, D. (2013). Implicatures and nested beliefs in approximate Decentralized-POMDPs. Proc ACL.

Game Theoretic Approaches

This section is a very incomplete list of some of the great work on this topic in the game theory tradition. Note, Michael Franke is someone different from me. 

• Review of the game-theoretic approach: Franke, M. (2013). Game Theoretic Pragmatics.
  Philosophy Compass 8.3, pp. 269-284.
• Franke, M. and Jäger, G. (2012). Bidirectional Optimization from Reasoning and Learning in Games. Journal of Logic, Language and Information 21.1, pp. 117-139
• Franke, M. (2011). Quantity Implicatures, Exhaustive Interpretation, and Rational Conversation. Semantics & Pragmatics 4.1, pp. 1-82.
• Golland, D., Liang, P. & Klein, D. (2010). A game-theoretic approach to generating spatial descriptions. Empirical Methods in Natural Language Processing.

Extensions to Other Phenomena
Many of these models have been applied primarily to reference resolution but many other linguistic phenomena seem amenable to the probabilistic pragmatics approach.

• To non-literal language: Kao, J. T., Wu, J., Bergen, L., & Goodman, N. D. (2014). Nonliteral understanding of number words. Proceedings of the National Academy of Sciences.
• To syllogism: Tessler, M. H. & Goodman, N. D. (2014). Some arguments are probably valid: Syllogistic reasoning as communication. Proc CogSci.
• To scalar implicature (and interactions with knowledge/belief): Goodman, N. D. and Stuhlmueller, A. (2013). Knowledge and implicature: Modeling language understanding as social cognition. Topics in Cognitive Science.
• To cost-based (horn) implicatures - note, there's an in-prep version of a much longer version of this on the authors' websites: That's what she (could have) said: How alternative utterances affect language use. L. Bergen, N. D. Goodman, and R. Levy (2012). Proc CogSci.
• More cost-based implicature: Cost-Based Pragmatic Inference about Referential Expressions
  Judith Degen, Michael Franke and Gerhard Jäger (2013). Proc CogSci.
• To negation: Nordmeyer, A. E., & Frank, M. C. (2014). A pragmatic account of the processing of negative sentences. Proc CogSci.
• Interactions with grammar: Potts, Christopher. 2013. Conversational implicature: interacting with grammar. Ms., Stanford University. 

Connections to Language Acquisition

• Initial suggestion about connections with word learning: Frank, M. C., Goodman, N. D., Lai, P., & Tenenbaum, J. B. (2009). Informative communication in word production and word learning. Proc CogSci.
• Followup with evidence: Frank, M. C., & Goodman, N. D. (2014). Inferring word meanings by assuming that speakers are informative. Cognitive Psychology.
• Smith, N., Goodman, N. D., & Frank, M. C. (2013). Learning and using language via recursive pragmatic reasoning about other agents. Neural Information Processing Systems.
• Review article: Frank, M. C. (2014). Learning words through probabilistic inferences about speakers’ communicative intentions. In Language in Interaction. Studies in honor of Eve V. Clark. Arnon, I., Casillas, M., Kurumada, C. & Estigarribia, B., Eds. Amsterdam: John Benjamins. 

Connections with Pedagogy and Teaching
There are many interesting and as-yet-unexplored connections between pragmatics and teaching. 

• Shafto, P., Goodman, N., & Frank, M. C. (2012). Learning from others: The consequences of psychological reasoning for human learning. Perspectives in Psychological Science, 7, 341-351. 
• Followup with more data: Shafto, P. Goodman, N. D., & Griffiths, T. L. (2014). Rational reasoning in pedagogical contexts. Cognitive Psychology.
• Frank, M. C. (2014). Modeling the dynamics of classroom education using teaching games. Proc CogSciShafto, P. and Goodman, N. D. (2008). Teaching games: statistical sampling assumptions for learning in pedagogical situations. Proc CogSci.