Evidential decision theory (EDT) is a school of thought within decision theory which states that, when a rational agent is confronted with a set of possible actions, one should select the action with the highest news value, that is, the action which would be indicative of the best outcome in expectation if one received the "news" that it had been taken. In other words, it recommends to "do what you most want to learn that you will do." EDT contrasts with causal decision theory (CDT), which prescribes taking the action that will causally produce the best outcome. While these two theories agree in many cases, they give different verdicts in certain philosophical thought experiments. For example, EDT prescribes taking only one box in Newcomb's paradox, while CDT recommends taking both boxes. (Wikipedia).
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
Short introduction to Bayesian Evidential Learning: a protocol for uncertainty quantification
From playlist Bayesian Evidential Learning
(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
The Psychology of Persuasion | Principles of Persuasion | Science Of Persuasion | Simplilearn
This video, Psychology of Persuasion, will help you understand the power of persuasion in the real world. It's not just about selling products or services, but how you persuade or influence someone with just your actions and way of communication. We will also be discussing the different p
From playlist Popular Videos | Simplilearn 🔥[2022 Updated]
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
Voting Theory: Approval Voting
This video explains how to apply the approval voting method to determine the winner of an election. Site: http://mathispower4u.com Content Source: http://www.opentextbookstore.com/mathinsociety/
From playlist Voting Theory
Bayesian Evidential Learning a protocol for uncertainty quantification in Earth systems
Webinar for CSDMS, Oct 14, 2019
From playlist Bayesian Evidential Learning
How Belief Systems Work | Episode 1010 | Closer To Truth
We like to think that we are rational, that what we believe is what is true. But we often believe because of our "belief systems"-"how we believe" may be more important than "what we believe." Featuring interviews with Julian Baggini, Stephen Law, Patrick McNamara, Gregory Ganssle, Rebecca
From playlist Closer To Truth | Season 10
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
(ML 3.1) Decision theory (Basic Framework)
A simple example to motivate decision theory, along with definitions of the 0-1 loss and the square loss. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
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)
(ML 11.2) Decision theory terminology in different contexts
Comparison of decision theory terminology and notation in three different contexts: in general, for estimators, and for regression/classification.
From playlist Machine Learning
Common Atheist Objections - A Conversation with Classical Theist
Classical Theist and I chat about common objections to natural theology that we see in our experience. Classical Theist's channel: https://www.youtube.com/channel/UC-n7Qt8EREiJntmrnBjbB4w Timestamps: "There's absolutely no evidence of the existence of God.", 1:47 "Who made God?", 14:02
From playlist Conversations
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
Voting Theory: Insincere Voting / Strategic Voting
This video discusses insincere or strategic voting and how it can affect the outcome of an election. Site: http://mathispower4u.com
From playlist Voting Theory
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