Networks in Cognitive Science is a full day Satellite conference at NetSci 2019 focused on how network science can be used to study the structure and dynamics of cognition, emotion and mental representation.
In recent years, network models have been applied to investigate a wide range of mental phenomena including the acquisition and representation of semantic and phonological knowledge, the role of symptoms in psychopathology, and high-level cognitive processes such as creativity, and voting attitudes. These investigations cover both the structures (e.g., semantic memory structure) and processes (such as memory search processes, affective dynamics, and language development) that relate many distinctive components of multiple cognitive systems.
In this symposium, we pursue two complementary goals. Our first goal is to showcase the benefits and value that network science affords the cognitive and psychological sciences, as well as demonstrate how this framework permits researchers to address questions that may not be possible with traditional approaches. Our second goal is to address the theoretical and methodological challenges that pervade the use of networks in the cognitive sciences: What are principled ways to construct and analyze cognitive networks? What ontological assumptions accompany network representations? To what extent are quantitative conclusions about networks replicable across samples? And what are the trade-offs between explanatory and predictive models?
Conference website: http://vermontcomplexsystems.org/events/netsci/