Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

In a recent study published in JAMA Network Open, a group of researchers evaluated the proficiency of Generative Pre-trained Transformer 4 (GPT-4) artificial intelligence (AI) in probabilistic ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Reasoning, decision making, and assurance advances artificial intelligence to enable autonomous systems to make reliable, safe decisions in complex, uncertain environments. This area combines AI with ...

Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time ...

Decision making often requires simultaneously learning about and combining evidence from various sources of information. However, when making inferences from these sources, humans show systematic ...

Many organisms can predict future events from the statistics of past experience, but humans also excel at making predictions by pure reasoning: integrating multiple sources of information, guided by ...