Knowledge and Probability

TL;DR: In this paper, a two-step process, referred to as logical probability, is proposed as a technique for representing model uncertainty in a risk assessment, where the first step involves assigning model weights in which the degree of evidential support for each of the alternative models is considered.

TL;DR: In this article, the authors present a bibliography of books and articles published in the last 20 years which pertain to or are related to the topic of the book, including articles on paradoxes of confirmation, including Goodman's new riddle of induction and Miller's paradox of information.

TL;DR: It is shown how Moss’ view of probabilistic knowledge can be fruitfully employed to develop a decision theory that delivers plausible verdicts in cases in which agents are rationally highly confident in false moral views, and argued that this new view must adopt a particular solution to the new evil demon problem.

TL;DR: A cue competition design that capitalized on prevailing beliefs about the allergenic properties of various foods found that while participants were able to set aside their prior knowledge when making causal judgments about the foods in question, associative memory was weaker for the cues paired with highlyAllergenic foods than cues pairedWith low allergen foods regardless of instructions.