Computational Behavioural Science
How can we uncover, understand, and predict decision patterns across populations, contexts, and cultures?
How can computational methods improve our theories of decision making?
Computational behavioural science is a research theme that focuses on the use of formal methods to study and understand human behaviour. This approach combines theories and methods from various fields, including psychology, neuroscience, computer science, and data science, to develop computational models of behaviour that are used to make predictions and generate insights about how people make decisions, learn, and interact with each other and their environment.
One of the key goals of this research theme is to bridge the gap between data and theory by using computational methods to test and refine existing theories of behaviour, and by using behavioural data to develop new theories and models of human behaviour. The goal of this approach is to provide a more complete and accurate understanding of the processes underlying human behaviour in order to inform interventions and policies that can improve individual and societal well-being.
Publications:
- 'A systematic investigation into the reliability of inter-temporal choice model parameters'
Ballard, T., Luckman, A., Konstantinidis, E. (2022) - 'Patterns of choice adaptation in dynamic risky environments.'
Konstantinidis, E., Harman, J.L. & Gonzalez, C. (2022).
Memory & Cognition, 50, 864–881. - 'How similarity between choice options affects decisions from experience: The accentuation-of-differences model.'
Spektor, M. S., Gluth, S., Fontanesi, L., & Rieskamp, J. (2019).
Psychological Review, 126(1), 52–88. - 'The repulsion effect in preferential choice and its relation to perceptual choice.'
Spektor, M. S., Kellen, D., & Klauer, K. C. (2022).
Cognition, 225, 105164. - 'Computational mechanisms for context-based behavioral interventions: A large-scale analysis.'
Zhao, W. J., Coady, A., & Bhatia, S. (2022).
Proceedings of the National Academy of Sciences, 119(15), e2114914119. - 'Process and content in decisions from memory.'
Zhao, W. J., Richie, R., & Bhatia, S. (2022).
Psychological Review, 129(1), 73.
Theme leads
Dr Mikhail Spektor
Department of Psychology
Dr Wenjia Joyce Zhao
Department of Psychology
Dr Emmanouil Konstantinidis
Department of Psychology
Affiliated Researcher
