Call for Papers: Computational Complexity of Decision-Making workshop
J Pablo Franco
Dear Colleagues,
We are excited to announce the upcoming Computational Complexity of Decision-Making workshop, and we warmly invite you to participate.
This single-tracked, in-person workshop will be held at the University of Melbourne from November 19 to 21, 2024, in Melbourne, Australia.
About the Workshop
The workshop will explore how information processing demands influence cognition and decision-making. By bringing together experts from various disciplines—including economics, cognitive science, computer science, psychology, and neuroscience—we hope to foster interdisciplinary collaboration and accelerate advancements in this field.
We have an exciting line-up of keynote speakers:
Peter Bossaerts, University of Cambridge
Itzhak Gilboa, HEC Paris
Iris van Rooij, Radboud University Nijmegen
William Stauffer, University of Pittsburg
For more information and abstract submission, visit the workshop website here. The deadline for submission is 15 September 2024.
Call for Contributions
We welcome submissions from all fields and methodological approaches, including but not limited to:
Theoretical models incorporating tractability in cognition and economics.
Empirical studies on the impact of information processing demands on behavior.
Research on neural mechanisms of problem-solving and decision-making.
Analyses of task complexity and its effects on performance and strategy.
Advances in information processing models and frameworks such as cognitive load theory.
We are excited to collaboratively explore the impact of computational complexity on decision-making and to contribute to groundbreaking discoveries in this dynamic field. Your participation and contributions would be highly valued. For more information, please reach out to Pablo Franco at jpfr...@unimelb.edu.au
Workshop Program Committee,
Pablo Franco, Carsten Murawski, Peter Bossaerts, Ryan Opera, William Stauffer
On behalf of the program committee,
Postdoctoral Research Fellow | Website
Centre for Brain, Mind & Markets
Department of Finance, The University of Melbourne