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 ...
Studia Logica: An International Journal for Symbolic Logic, Vol. 102, No. 4, Logic and Probability: Reasoning in Uncertain Environments (August 2014), pp. 867-890 (24 pages) Systems of ...
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 ...
Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...
Humans live in a world of uncertainty. A shadowy figure on the sidewalk ahead could be a friend or a mugger. By flooring your car’s accelerator, you might beat the train to the intersection, or maybe ...
Reasoning about probabilities is something humans can’t always manage especially well, but it’s clearly a skill we’re capable of. In the wider world of animals, however, there are very few species we ...
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