Workshop on Bayesian models of cognition, language and speech

In recent years, Bayesian approaches have developed at a remarkable rate in a large variety of domains, from cognitive science to machine learning, as well as speech and language sciences and neuroscience. They offer us new ways of modelling human as well as animal cognition in situations of uncertainty and in a probabilistic framework. In the field of the cognitive bases of language and speech, innovative Bayesian models have been proposed by Moulin-Frier, Diard, Schwartz & Bessière (2015) or Carr, Smith, Culbertson & Kirby (2020), among others. In July 2020, the ILCB held an online seminar on Bayesian modelling with Julien Diard and Jean-Luc Schwartz. This year’s workshop will feature presentations by Julien Diard and Jon Carr, and by PhD students Mamady Nabé, Lena Huttner and Elliot Huggett.