Bridging Logical and Probabilistic Approaches to Language and Cognition

Logic & Computation

Recent years have seen increased interest in applying logical methods and frameworks, the traditional subject matter of ESSLLI, to cognitive modeling, whereby logical models of cognitive phenomena are tested against empirical data. At the same time, there has recently been an explosion of activity in the cognitive sciences around (structured) statistical, and specifically Bayesian, models. With this workshop we propose to bring together two groups of researchers — logicians focused on cognitive modeling, and cognitive scientists incorporating logical structure into probabilistic models — with the aim of cross-pollination, and ideally, a consensus on how these two traditions relate, and how we might combine the best of what both have to offer. The primary aim is to gain a better understanding of (i) how cognitive computational models could be enriched by logical insights and (ii) how logical models may be turned into cognitive models.

First week
11:00 - 12:30 - slot 2