Computational modeling and simulation of human cognition is an emergent multidisciplinary field of research promising breakthroughs for both basic research and applications. There is already a wide range of notable examples illustrating the successful application of computational modeling in cognition from models of working memory to intelligent tutoring systems. However, many psychiatric and neurological disorders involve characteristic cognitive deficits that still are poorly understood on a process level.
Quantitative cognitive process models promise to contribute towards filling the explanatory gap between models of basic neural mechanisms and high-level cognitive abilities. Mathematical methods and computational tools for process modeling, which have a long success story in other disciplines, e.g. chemical engineering, may help to address the challenges and potential pitfalls arising in this approach. A successful implementation, however, requires a broad range of skills and knowledge.
Therefore, in this challenge workshop, we bring together experts from the different fields of cognitive modeling, cognitive disorders, and process modeling. The aim is to facilitate the exchange about research questions in domains like psychiatry, neuroscience, or cognitive science, which may be addressed by methods of process modeling. We will discuss the available methodological approaches and tools as well as their limitations in order to foster effective future collaborations.
The focus of this workshop will be on higher cognition and its disorders, including process models of the underlying neural activity. A methodological focus will be on effective parameter estimation methods, model validation procedures, model-based optimum experimental design, and the application of these methods to models of cognition.
Researchers interested in quantitative models of cognition, particularly higher cognition and models of dysfunctional cognition. Relevant fields include psychiatry, geriatrics, psychology, cognitive science, neuroscience, mathematics, economics, computer science, statistics, and related fields. The workshop is also open to doctoral and graduate students.