The field of dynamic decision making encompasses the study of how individuals and groups process, learn, and adapt their decision strategies within fluctuating and temporally evolving environments. In ...

Sequential decision-making under uncertainty is a foundational topic in multiple fields - including economics, operations research, and computer science, built around the foundation of Markov decision ...

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 ...