Abstract for: Objective measures of complexity for dynamic decision making in an interactive learning environment

Dynamic decision making (DDM), is a research programme concerned with decision problems in dynamic environments, the variables of which evolve non-linearly over time, and fraught with uncertainty. Based on an interdisciplinary methodology combining a computational theoretical approach with an experimental design from applied cognitive psychology, the present work proposes objective measures of complexity for DDM. A set of seven measures relying on cognitive factors, information characteristics, and contextual constraints are suggested. Such objective measures of complexity would provide the means to (i) assess the commensurability of complex decision problems, and (ii) calibrate experiments in order to control the level of complexity of the scenarios.