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 ...

Transparency and explainability are only way organizations can trust autonomous AI.

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 ...

The field of decision making has long captured the interest of researchers seeking to understand how cognitive processes underpin everyday choices. Contemporary studies reveal that decision-making ...

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.

Effective planning and decision making constitutes a cornerstone not only in engineering and strategic business management but also in organisational and public policy environments. This field ...

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 ...

SINGAPORE, March 11, 2026 /PRNewswire/ -- Appier today announced new research advancing the reliability of Agentic AI systems. To expand the impact of its research and development efforts, Appier's AI ...

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 ...

This post is written by Bhavleen Singh, research affiliate at the Department of Economics, Monk Prayogshala. At 18, society often labels us as adults, yet this milestone merely scratches the surface ...

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...