How Computational Modeling Can Force Theory Building in Psychological Science

Computational modeling guides us towards better science by forcing us to conceptually analyze and formalise intuitions which otherwise remain unexamined. We present scientific inference as a path function. Furthermore, we explain how to formalise, specify, and implement a computational model, emphasizing that the advantages of modeling can be achieved by anyone with benefit to all.

Speakers: Olivia Guest, Radboud University; Andrea E. Martin, Radboud University and MPI for Psycholinguistics