Those designing autonomous systems that interact with humans will invariably face
questions about how humans think and make decisions. Fortunately, computational …

Predicting and understanding how people make decisions has been a long-standing goal in
many fields, with quantitative models of human decision-making informing research in both …

The dominant paradigm of experiments in the social and behavioral sciences views an
experiment as a test of a theory, where the theory is assumed to generalize beyond the …

Economic models are evaluated by testing the correctness of their predictions. We suggest
an additional measure,“completeness”: the fraction of the predictable variation in the data …

Human decision-making underlies all economic behavior. For the past four decades, human
decision-making under uncertainty has continued to be explained by theoretical models …

Virtual labs allow researchers to design high-throughput and macro-level experiments that
are not feasible in traditional in-person physical lab settings. Despite the increasing …

From a pioneer in the field of complexity science and chaos theory, a plan for solving the
world's most pressing problems" Farmer convincingly argues that by using big data and …

Normative and descriptive models have long vied to explain and predict human risky
choices, such as those between goods or gambles. A recent study reported the discovery of …

Economists often estimate models using data from a particular domain, eg estimating risk
preferences in a particular subject pool or for a specific class of lotteries. Whether a model's …

Morocco is currently at a critical juncture, facing a pivotal decision regarding its future energy
transition and standing at the crossroads of its energy trajectory. The dilemma lies in …