Procedural and Computational Models of Semantic and Pragmatic Processes

About

Procedural and computational modeling frameworks have been applied successfully to various aspects of semantic and pragmatic processes, yielding not only a good fit to empirical data but also insights of theoretical relevance. On the one hand, computational (e.g., Bayesian or information theoretic) models rationalize speaker behavior and explain how the listener can use the given information efficiently to infer the intended meaning from an utterance. However, these models often leave the stepwise processing of linguistic information unspecified. On the other hand, procedural procedural (e.g., automata or ACT-R) models explain step-by-step cognitive processes behind meaning-related computations e.g., the process of building sentence representations. However, they often lack the means to combine different information types in an interactive fashion. The goal of this workshop is to bring together researchers applying these two modeling methodologies to discuss their strengths and weaknesses and work towards an integrated approach.

Course leader

Sonia Ramotowska and Fabian Schlotterbeck

Target group

Students

Fee info