no code implementations • 27 Jul 2017 • Joseph Y. Halpern, Ron van der Meyden, Riccardo Pucella
We present a simple logic based on the well-understood modal operators of knowledge, time, and probability, and show that it is able to handle issues that have often been swept under the rug by other approaches, while being flexible enough to capture all the higher- level security notions that appear in BAN logic.
no code implementations • 7 Aug 2014 • Joseph Y. Halpern, Riccardo Pucella
We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability to each event.
no code implementations • 27 Jul 2014 • Joseph Y. Halpern, Riccardo Pucella
Expectation is a central notion in probability theory.
no code implementations • 27 Jul 2014 • Joseph Y. Halpern, Riccardo Pucella
An agent often has a number of hypotheses, and must choose among them based on observations, or outcomes of experiments.
no code implementations • 27 Jul 2014 • Joseph Y. Halpern, Riccardo Pucella
We introduce a logic for reasoning about evidence, that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation).