Game theory equilibrium concepts

Intuitive criterion

The intuitive criterion is a technique for equilibrium refinement in signaling games. It aims to reduce possible outcome scenarios by restricting the possible sender types to types who could obtain higher utility levels by deviating to off-the-equilibrium messages, and to types for which the off-the-equilibrium message is not equilibrium dominated. (Wikipedia).

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Evaluate the limit for a value of a function

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Find the max and min of a linear function on the closed interval

πŸ‘‰ Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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How to evaluate the limit of a function by observing its graph

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Applied topology 25: Evasion paths in mobile sensor networks, Part II

Applied topology 25: Evasion paths in mobile sensor networks, Part II Abstract: We explain how zigzag persistent homology relates to the evasion path problem in mobile sensor networks. In particular, we describe the one-sided zigzag homology criterion from the paper "Evasion paths in mobi

From playlist Applied Topology - Henry Adams - 2021

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Statistical Rethinking 2023 - 06 - Good & Bad Controls

Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=PDohhCaNf98 Outline 00:00 Introduction 01:43 Causal implications 14:28 do-calculus 16:59 Backdoor criterion 40:48 Pause 41:22 Good and bad controls 1:09:34 Summary 1:26:27 Bonu

From playlist Statistical Rethinking 2023

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Linear Regression - Least Squares Criterion Part 1

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Linear Regression - Least Squares Criterion. In this video I just give a quick overview of linear regression and what the 'least square criterion' actually me

From playlist All Videos - Part 1

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What is the max and min of a horizontal line on a closed interval

πŸ‘‰ Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Learn how to evaluate left and right hand limits of a function

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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A Wiles-Diamond numerical criterion in higher dimensions -Chandrashekhar Khare

Joint IAS/Princeton University Number Theory Seminar Topic: A Wiles-Diamond numerical criterion in higher dimensions Speaker: Chandrashekhar Khare Affiliation: University of California, Los Angeles Date: February 17, 2022 Wiles’s proof of the modularity of (semistable) elliptic curves ov

From playlist Mathematics

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Determine the extrema using EVT of a rational function

πŸ‘‰ Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Does the EVT apply

πŸ‘‰ Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Statistical Rethinking 2022 Lecture 06 - Good & Bad Controls

Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro video: https://www.youtube.com/watch?v=6erBpdV-fi0 Intro music: https://www.youtube.com/watch?v=Pc0AhpjbV58 Chapters: 00:00 Introduction 01:23 Parent collider 08:13 DAG thinking 27:48 Backdoor cri

From playlist Statistical Rethinking 2022

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Using parent graphs to understand the left and right hand limits

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Learn to evaluate the limit of the absolute value function

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Practical 2.2 – nn package

Neural Networks – An overview on Torch’s nn package Full project: https://github.com/Atcold/torch-Video-Tutorials Regression example: https://github.com/Atcold/torch-Machine-learning-with-Torch Notes: 54:36 – X[i] should be X[i + j] 54:44 – Y[i] should be Y[i + j] 54:56 – Y[i] should be

From playlist Deep-Learning-Course

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MAE5790-9 Testing for closed orbits

Techniques for ruling out closed orbits: index theory and Dulac's criterion. Techniques for proving closed orbits exist: PoincarΓ©-Bendixson theorem. Trapping regions. Example in polar coordinates. Simple model of oscillatory glycolysis in metabolism. Nullclines. Reading: Strogatz, "Nonli

From playlist Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University

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Jason Rosenhouse - Raymond Smullyan's Mathematics - G4G13 Apr 2018

I give an overview of Smullyan's mathematical research

From playlist G4G13 Videos

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Determine the extrema using the end points of a closed interval

πŸ‘‰ Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

Related pages

Signaling game | Separating equilibrium | Bayes' theorem | Divine equilibrium | Pooling equilibrium | Probability distribution