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 ...

Digital learning environments are dynamic systems that require learning designers to leverage environmental conditions and the needs of their learners. While many frameworks and studies have explored ...

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 ...

Conventional Artificial Intelligence (AI) systems, particularly Large Language Models (LLMs) and Large Multimodal Models (LMMs), primarily rely on language, pre-trained historical data, and mimicking ...