The RBI has proposed a comprehensive regulatory framework to govern the use of artificial intelligence and other ...

Quantum decision-making models draw on mathematical principles of quantum theory to describe and predict choices that defy classical probability. By representing cognitive states as vectors in a ...

Our movements, especially sequential ones, are usually goal-directed, i.e., coupled with task-level goals. Consequently, cognitive strategies for decision-making and motor performance are likely to ...

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 ...

Emergent large language models (LLMs) such as OpenAI’s ChatGPT (particularly its latest iteration, GPT-4), Claude AI and Gemini have demonstrated limited decision-making. In this article, we’ll ...

JMIR Publications released two feature stories in its News and Perspectives section. Shalini Kathuria Narang's "Can Humanlike ...

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

The previous article in this series examined how institutions misclassify AI‑driven exposure due to legacy metrics, ...

Chief financial officers (CFOs) must learn from frontier finance teams how to position finance, so they can reshape ...

New research explains the mathematics behind how initial predispositions and additional information affect decision making. New research from a Florida State University professor and colleagues ...

In a large group of independent decision-makers, those who reach a decision most quickly also tend to be those with the strongest initial biases. The finding comes from a mathematical model of ...