“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.

Decision theory provides a structured framework for analysing how individuals and institutions make choices amidst uncertainty. It combines the rigour of mathematical models—such as expected ...

The poliheuristic theory of foreign policy decision making would benefit from being clearer in spelling out the conditions under which it holds more or less analytic promise. The article makes the ...

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 ...

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 ...

Choice Theory and Decision-Making Processes Publication Trend The graph below shows the total number of publications each year in Choice Theory and Decision-Making Processes.

Classical theories of decision-making attempt to predict what choice a person will make given certain parameters, but fallible humans don't always behave as expected.

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