To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

A simple, user-friendly decision-making model that used self-reported information was able to perform well in outpatient decision-making for patients with colorectal cancer (CRC). CRC is the second ...

Handler, Abram; Larsen, Kai R.; Hackathorn, Richard. Large language models present new questions for decision support. International Journal of Information Management ...

The difference between sequential decision-making tasks and prediction tasks, such as CV and NLP. (a) A sequential decision-making task is a cycle of agent, task, and world, connected by interactions.

Hershey’s partnership with Aera Technology highlights how agentic AI is helping major food manufacturers predict problems, ...

Expert Intelligence, a startup building artificial intelligence systems to automate decision-making in regulated lab ...