The Computational Cognitive Science group aims at advancing the theoretical foundations of computational explanations in cognitive science (i.e., the multidisciplinary study of cognition).
Our approach is characterized by the use of conceptual analysis, computational and formal modeling, computational complexity analysis, and computer simulations. The formalisms studied by the group span the gamut of cognitive science modeling approaches, including symbolic, neural network, probabilistic (e.g. Bayesian), dynamical, logic, and heuristic models of cognition.
By taking a meta-theoretical and meta-science perspective we also contribute to critical reflection on the use of artificial intelligence (AI) techniques (computational modeling, in particular) in science and society.