Non-classical logic | Probabilistic arguments
Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations. Probabilistic logic extends traditional logic truth tables with probabilistic expressions. A difficulty of probabilistic logics is their tendency to multiply the computational complexities of their probabilistic and logical components. Other difficulties include the possibility of counter-intuitive results, such as in case of belief fusion in Dempster–Shafer theory. Source trust and epistemic uncertainty about the probabilities they provide, such as defined in subjective logic, are additional elements to consider. The need to deal with a broad variety of contexts and issues has led to many different proposals. (Wikipedia).
Probabilistic logic programming and its applications - Luc De Raedt, Leuven
Probabilistic programs combine the power of programming languages with that of probabilistic graphical models. There has been a lot of progress in this paradigm over the past twenty years. This talk will introduce probabilistic logic programming languages, which are based on Sato's distrib
From playlist Logic and learning workshop
Introduction to Predicate Logic
This video introduces predicate logic. mathispower4u.com
From playlist Symbolic Logic and Proofs (Discrete Math)
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics
Probabilistic model 5: summary of assumptions
[http://bit.ly/BM-25] The summary of 7 assumptions made in the probabilistic model of IR, and why really need to make them. What assumptions can we relax?
From playlist Probabilistic Model of IR
Introduction to Predicates and Quantifiers
This lesson is an introduction to predicates and quantifiers.
From playlist Mathematical Statements (Discrete Math)
Introduction to Propositional Logic and Truth Tables
This video introduces propositional logic and truth tables. mathispower4u.com
From playlist Symbolic Logic and Proofs (Discrete Math)
VALIDITY and ENTAILMENT in Truth Trees for Predicate Logic - Logic
In this video on Logic, we look at entailment and validity in truth trees for predicate logic. We learn how to do negated universal decomposition, negated existential decomposition, universal elimination, and existential elimination. We then do three practice truth trees. 0:00 - [Validity
From playlist Logic in Philosophy and Mathematics
Translating ENGLISH into PREDICATE LOGIC - Logic
In this video on Logic, we learn to translate English sentences into Predicate Logic. We do sentences with only constants and predicates, as well as introduce the universal and existential quantifier "some x is P" and "every x is P" and then do some practice problems. Predicate Logic trans
From playlist Logic in Philosophy and Mathematics
Richard Lassaigne: Introduction à la théorie de la complexité
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Mathematical Aspects of Computer Science
Semantic models for higher-order Bayesian inference - Sam Staton, University of Oxford
In this talk I will discuss probabilistic programming as a method of Bayesian modelling and inference, with a focus on fully featured probabilistic programming languages with higher order functions, soft constraints, and continuous distributions. These languages are pushing the limits of e
From playlist Logic and learning workshop
Hope for a Type-Theoretic Understanding of Zero-Knowledge - Noam Zeilberger
Noam Zeilberger IMDEA Software Institute; Member, School of Mathematics October 4, 2012 For more videos, visit http://video.ias.edu
From playlist Mathematics
This first E-Lecture on Predicate Logic is meant as a gentle introduction. It first points out why propositional logic alone is not sufficient for the formalization of sentence meaning and then introduces the central machinery of predicate logic using several examples with which the studen
From playlist VLC103 - The Nature of Meaning
Integrating Inference with Stochastic Process Algebra Models - Jane Hillston, Edinburgh
ProPPA is a probabilistic programming language for continuous-time dynamical systems, developed as an extension of the stochastic process algebra Bio-PEPA. It offers a high-level syntax for describing systems of interacting components with stochastic behaviours where some of the parameters
From playlist Logic and learning workshop
Classical and Quantum Subjectivity
Uncertainty is a major component of subjective logic beliefs. We discuss the cloud of uncertainty across Markov networks, insights from computational irreducibility, and negative quantum quasiprobabilities and beliefs.
From playlist Wolfram Technology Conference 2022
Logic 3 - Propositional Logic Semantics | Stanford CS221: AI (Autumn 2021)
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021
Marco Pavone: "On safe & efficient human-robot interactions via multimodal intent modeling & rea..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop II: Safe Operation of Connected and Autonomous Vehicle Fleets "On safe and efficient human-robot interactions via multimodal intent modeling and reachability-based safety assurance" Marco Pavone - Stanford Uni
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University
In this talk, I will give a perspective on inference in Bayes' networks (BNs) using program verification. I will argue how weakest precondition reasoning a la Dijkstra can be used for exact inference (and more). As exact inference is NP-complete, inference is typically done by means of sim
From playlist Logic and learning workshop
An Overview of Propositional Logic for Linguists - Semantics in Linguistics
This video covers propositional logic in #semantics for #linguistics. We talk about propositions, the negation, the conjunction, the conditional, the disjunction, truth tables, syntax of logic, tautologies, and contradictions all in 11 minutes. Join this channel to get access to perks: ht
From playlist Semantics in Linguistics
Mini-course on information by Rajaram Nityananda (Part 2)
Information processing in biological systems URL: https://www.icts.res.in/discussion_meeting/ipbs2016/ DATES: Monday 04 Jan, 2016 - Thursday 07 Jan, 2016 VENUE: ICTS campus, Bangalore From the level of networks of genes and proteins to the embryonic and neural levels, information at var
From playlist Information processing in biological systems