3 thinkers, books, and ideas connected to this field.
Russian mathematician who provided the rigorous axiomatic foundation for probability theory and developed Kolmogorov complexity — the most fundamental measure of information.
The theorem stating how to update prior beliefs in light of new evidence — providing the mathematical foundation for rational belief revision.
English statistician and Presbyterian minister who developed Bayes' Theorem — the mathematical framework for updating probability estimates based on new evidence — published posthumously and now foundational to statistics, machine learning, and rational epistemology.