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 ...

In this paper, we consider a finite-horizon stochastic mixed-integer program involving dynamic decisions under a constraint on the overall performance or reliability of the system. We formulate this ...

Because artificial intelligence is always learning, its introduction in government means agencies must continually adapt as ...

O bservation-Based Dynamic Reasoning, Forecasting, and Risk A ssessment O vercom ing the Inherent Limitations of Language-Centric and H uman-Mimicking AI M odels NEW YORK, Sept. 17, 2025 /PRNewswire/ ...

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 ...

In today’s fast-evolving property management landscape, success depends on strategic, well-informed decisions. Rising competition, heightened tenant expectations and operational complexities have ...

Data stands out as a key resource for retailers in the increasingly digital world. Businesses are generating more data than ever before, from transaction records and customer profiles to social media ...

FORT KNOX, KY – Leaders from the 244th Expeditionary Combat Aviation Brigade gathered around the table, plotted their air corridors, and collaborated in the preparation for their aerial assault ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Suzanne is a content marketer, writer, and fact-checker. She holds ...

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 ...