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 ...

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 ...

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 ...

Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

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.

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 ...

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 ...

Explore how artificial intelligence is transforming investment decision-making through data analytics, predictive models, ...

Robots find tricky tasks hard and need a lot of training. This system helps them plan ahead and act smarter using much less data.