“Smart” decision-making will be the focus of an upcoming lecture at Rochester Institute of Technology. John Salerno, a fellow with the Air Force Research Laboratory in Rome, N.Y., will present ...

In the largest experiment studying people's "risky choices" to date, researchers show how machine learning can be used to test and improve long-stagnant theories of human decision-making.

This interdisciplinary field examines the principles that govern decision-making processes, from rational choice models to approaches that incorporate cognitive and emotional factors.

Ethical decision-making (EDM) descriptive theoretical models often conflict with each other and typically lack comprehensiveness. To address this deficiency, a revised EDM model is proposed that ...

The study of preference theory and decision-making delves into how individuals and collectives assess and order alternative outcomes under conditions of uncertainty and complexity. Traditionally ...

A new theory of economic decision-making offers an explanation as to why humans, in general, make decisions that are simply adequate, not optimal.

Using computer models for exploration: Robust decision-making traditionally relies on the use of quantitative data and computer modeling to inform decision-making.

A new theory of economic decision-making from Mina Mahmoudi, a lecturer in the Department of Economics at Rensselaer Polytechnic Institute, offers an explanation as to why humans, in general, make ...

This manuscript explores the decision loop comprised of the Observe, Orient, Decide, and Act process (herein referred to as OODA loop) as an illustrative model to operationalize the subjectivist ...