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"Belief revision" as a book category encompasses works that examine how agents—humans, scientific communities, or computational systems—change their beliefs or theories when confronted with new, conflicting, or uncertain information. Books in this category range from formal treatments (AGM theory, Bayesian updating, non‑monotonic logic, machine‑learning and algorithmic approaches) to philosophical and psychological analyses of rationality, inconsistency resolution, and cognitive bias, as well as applied discussions about scientific theory change, legal reasoning, and decision‑making under uncertainty. Readers can expect a mix of rigorous formal models, empirical studies, case histories, and practical methods for updating knowledge bases or improving belief‑formation processes, making the category useful for philosophers, computer scientists, cognitive scientists, and informed general readers interested in how beliefs should and do change.

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