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 ...

In the actual decision-making process, there will be situations where decision-makers with hesitant attitudes have difficulties in evaluating alternatives numerically, and hesitant fuzzy linguistic ...

The expected utility theory (EUT) 1 is one of the most well-established models for analyzing decision-making under risk. Nevertheless, throughout the past decades, several experimental works 2,3 have ...

Twenty-first century manufacturers post-COVID-19 have been facing significant challenges across their functions in supply chain, risk, operations, and customer experience. Threats by new (often more ...

Emergent large language models (LLMs) such as OpenAI’s ChatGPT (particularly its latest iteration, GPT-4), Claude AI and Gemini have demonstrated limited decision-making. In this article, we’ll ...