In today’s fast-paced business environment, making well-informed decisions quickly is a crucial skill for leaders. Understanding different models of decision-making can provide you with the tools to ...

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.

There are two main approaches to decision making in business. The rational approach based on logic and analysis is favored by many business schools. In practice, most decisions are made using an ...

Human insights Given the inherent limitation to scientific models of, say, climate change or the spread of viruses, it could make sense to get a wider range of people involved when turning the ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

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 ...

Kaneko-Suzuki developed epistemic logics of shallow depths with multiple players for investigations of game theoretical problems. By shallow depth, we mean that nested occurrences of belief operators ...

Recent reporting and analysis have framed a high-energy debate on what basis our leaders should make the critical decisions of when and how we should go “back to our normal lives” as the pandemic ...