Procedura l and computational modeling frameworks have been applied successfully to various aspects of semanti c and pragmatic processes, yielding not only a goo d fit to empirical data but also insights of theor etical relevance. On the one hand, computational ( e.g., Bayesian or information theoretic) models ra tionalize speaker behavior and explain how a liste ner can use given information efficiently to infer the intended meaning from an utterance. However, these models often leave the stepwise processing o f linguistic information unspecified. On the other hand, procedural (e.g., automata or ACT-R) models explain step-by-step cognitive processes behind m eaning-related computations, e.g., the process of building sentence representations. However, they o ften lack the means to combine different informati on types in an interactive fashion. The goal of th is workshop is to bring together researchers apply ing these two modeling methodologies to discuss th eir strengths and weaknesses and work towards an i ntegrated approach.
\nWe invi te submissions that present state-of-the-art appli cations of computational and procedural models or discuss strengths and limitations of each of the m entioned methodologies. Moreover, because we see g reat potential for integrated computational and pr ocedural models, we strongly encourage submissions that propose hybrid approaches. Such hybrid appro aches may, for example, include sequential samplin g decision models (e.g. Schlotterbeck et al., 2020 ; Ramotowska et al., 2023) or models of incrementa l interpretation (e.g. Cohn-Gorden et al., 2019; W aldon & Degen, 2021) as procedural extensions of B ayesian approaches.
\nAbstracts should be anonymous and not exceed 2 pages (plus one extra p age for figures, tables, glosses, references, etc. ) with 11 pt font size. Submissions can be made at the workshop’s EasyChair site.< /p>\n