Multiple-criteria decision analysis
In decision theory, the evidential reasoning approach (ER) is a generic evidence-based multi-criteria decision analysis (MCDA) approach for dealing with problems having both quantitative and qualitative criteria under various uncertainties including ignorance and randomness. It has been used to support various decision analysis, assessment and evaluation activities such as environmental impact assessment and organizational self-assessment based on a range of quality models. (Wikipedia).
Geometry - Ch. 2: Reasoning and Proofs (12 of 46) What is Inductive Reasoning?
Visit http://ilectureonline.com for more math and science lectures! In this video I will review inductive reasoning (from previous videos) and its advantages and weaknesses. Inductive reasoning is used by 1) finding a pattern, and 2) perform observations (examples or trends) in order to d
From playlist GEOMETRY CH 2 PROOFS & REASONING
Logical Reasoning: Become A Better Thinker
Logical thinking is also known as analytical reasoning, critical thinking or abstract thinking. It is an important trait, especially among developers in the software development industry. Without the logic, they would not understand how the software works, nor would they produce a clean co
From playlist Problem Solving
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
Basic Methods: We note the different methods of informal proof, which include direct proof, proof by contradiction, and proof by induction. We give proofs that sqrt(2) is irrational and that there are infinitely many primes, among others.
From playlist Math Major Basics
Teach Astronomy - Scientific Reasoning
http://www.teachastronomy.com/ Scientific reasoning is an important part of how science works. You may have your own beliefs or your own faith, and they are your own. They're unchallengeable. But if you make an assertion in a scientific way, you have to be able to back up that assertion
From playlist 01. Fundamentals of Science and Astronomy
Accurate and complete gene construction with EvidentialGene pipeline, 20160629
Galaxy Community Conference 2016, Indiana University - Bloomington | https://gcc2016.iu.edu/ https://gcc16.sched.com/event/9bd9becba98422d3213b06b379354b41# Author: Don Gilbert, Indiana University Abstract: Precision genomics is essential in medicine, environmental health, sustainable a
From playlist 2016 Galaxy User Community Conference (GCC16)
Bayesian Evidential Learning a protocol for uncertainty quantification in Earth systems
Webinar for CSDMS, Oct 14, 2019
From playlist Bayesian Evidential Learning
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Design Thinking
Jesus as God - A Philosophical Inquiry | Episode 1909 | Closer To Truth
Why the astonishing claim that Jesus is God? Not like God. Not representing God. But literally God? One need not be a Christian, or even a theist, to appreciate the arguments. Featuring interviews with Sarah Coakley, N.T. Wright, Oliver Crisp, Eleonore Stump, C. Stephen Evans, and Ian McFa
From playlist Big Questions About God - Closer To Truth - Core Topic
John M. Keynes and Treatise on Probability - Prof. Simon Blackburn
Abstract To introduce Keynes’s Treatise on Probability in a short time I shall emphasize its remarkable scholarship; its debt to Russell’s logicism; and its pervasive scepticism about the possibility of applying mathematics to its subject. I then briefly consider the departure from logici
From playlist Uncertainty and Risk
Short introduction to Bayesian Evidential Learning: a protocol for uncertainty quantification
From playlist Bayesian Evidential Learning
Can God Face Up To Evil? | Episode 1009 | Closer To Truth
If I seek God and avoid "the problem of evil," I fool myself. If there is a God, evil is God's hardest problem. If there is no God, evil is No-God's easiest evidence. Featuring interviews with John Hick, Stephen Law, Paul Fiddes, Anthony Grayling, and Robert Russell. Season 10, Episode 9
From playlist Big Questions About God - Closer To Truth - Core Topic
Stanford Seminar - Should you believe Wikipedia?
Should you believe Wikipedia? An introduction to social and virtue epistemology, with questions about the utility of philosophy for HCI researchers Amy Bruckman Georgia Institute of Technology May 7, 2021 How do we know what is "true"? Understanding the fundamental nature of truth and kn
From playlist Stanford Seminars
Quantifying Uncertainty in Subsurface Systems
Presentation based on the book published by Wiley Scheidt, C., Li, L & Caers, J, 2018. "Quantifying Uncertainty in Subsurface Systems.
From playlist Uncertainty Quantification
In this lecture, Professor John Cottingham (University of Reading) considers the logical problem of evil: is it logically possible for evil to exist with an omnipotent, omniscient and omnibenevolent God? This lecture is part of a larger course on the problem of evil. The full course can b
From playlist Philosophy
Bishop's Constructive Analysis
In this video I speak about the Constructive Analysis approach spearheaded by Bishop. I start a review of Techniques of Constructive analysis, discuss the Axiom of Dependent Choice, and so on. Text used in this video: https://gist.github.com/Nikolaj-K/2207cacbd7cc15f20a9b81bb2be04285 See a
From playlist Logic