Abstract The conditional probability formula is supposed to reflect the correct updating of assignments when new information incorporated. Starting from a non-atomic measure, it proved that provides only transformed measure satisfying “minimum requirement” relational assumption. This result applies standard Bayesian parametric model.

Abstract The problem of probabilities conditionals is one the long‐standing puzzles in philosophy language. We defend and update Adams' solution to puzzle: probability an epistemic conditional not a proposition, but under supposition. Close inspection how triviality result unfolds concrete scenario does provide counterexamples view that are probabilities: instead, it supports conclusion violate...

Four experiments required participants to keep track of the locations of (i.e., update) 1, 2, 3, 4, 6, 8, 10, or 15 target objects after rotating. Across all conditions, updating was unaffected by set size. Although some traditional set size effects (i.e., a linear increase of latency with memory load) were observed under some conditions, these effects were independent of the updating process. ...