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 ...

Precocial animals, the ones that move autonomously within hours after hatching or birth, have many biases they are born with that help them survive, finds a new paper led by Queen Mary University of ...

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.

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

Making decisions is a key aspect of our brains and daily lived experiences. Whether we realize it or not, we are constantly making decisions. Those decisions are driven by different models, some of ...

Even the most technically flawless financial plan can fail—because markets aren’t the real wildcard. Behavior is. As growth ...

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 ...