Most people make decisions based on intuition, emotions, or cognitive shortcuts that often lead to suboptimal outcomes. Probabilistic thinking is the practice of assigning likelihoods to different ...

Please check the manual for the full list of algorithms. The "PGM_PyLib Manual vX.X.pdf" contains the description of the PGM's which were implemented, also you will find different examples. If you use ...

Our brains allow us to reason about alternatives and to make choices that are likely to pay off. Often there is no one correct answer, but instead one that is favoured simply because it is more likely ...

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 ...

Abstract: Neuro-symbolic AI systems integrate neural perception with symbolic and probabilistic reasoning to enable dataefficient, interpretable, and robust intelligence beyond purely neural models.