Is Game-Theoretic Probability the Missing Link in Conformal Predictions?

  • Thread starter zli034
  • Start date
  • Tags
    Game
In summary, game theoretic probability is a branch of game theory that uses mathematical models to predict outcomes in strategic situations with multiple players. It differs from traditional probability by considering the decisions of other players, and has been applied in fields such as economics, political science, and artificial intelligence. However, it has limitations such as assuming perfect information and rational decisions, and can be used to make better decisions by anticipating the actions of others.
  • #1
zli034
107
0
Hi all,

I want to learn Game-Theoretic Probability. I have found few examples of computing conditional probability by game theoretic approach.

Is there and good readable tutorial could show help me to learn this topic and conformal predictions?

Let's recover this lost philosophy of game theoretic probabiltiy
 
Physics news on Phys.org
  • #2
Since nobody on the forum seems to have heard of "Game Theoretic Probability", perhaps you should reveal some of the examples you have found.
 

FAQ: Is Game-Theoretic Probability the Missing Link in Conformal Predictions?

What is game theoretic probability?

Game theoretic probability is a branch of game theory that uses mathematical models to predict the likelihood of various outcomes in a strategic situation where multiple players are involved.

How is game theoretic probability different from traditional probability?

Traditional probability is based on known information and past events, while game theoretic probability takes into account the strategic decisions and actions of other players in a game.

What are some real-world applications of game theoretic probability?

Game theoretic probability has been used in fields such as economics, political science, and biology to analyze decision-making in competitive situations. It has also been applied to artificial intelligence and computer science for developing algorithms and decision-making systems.

What are some limitations of game theoretic probability?

Game theoretic probability assumes that all players have perfect information and make rational decisions, which may not always be the case in real-world situations. It also does not take into account factors such as emotions and biases that can affect decision-making.

How can game theoretic probability be used to make better decisions?

By using game theoretic probability, decision-makers can anticipate the actions and reactions of other players in a strategic situation. This can help them make more informed decisions and potentially achieve better outcomes.

Similar threads

I Battle Projections: Predicting Probabilities in Games
Replies
4
Views
1K
A Game theory, quantum physics and the Bell inequality (paper)
Replies
2
Views
2K
Intentional Probability: The Impact of Host's Intentions on Winning a Game Show
Replies
13
Views
2K
Risk Probability Question W/ Expected Value and Standard Deviation
Replies
2
Views
3K
What is the probability of odd versus even in a football game?
Replies
3
Views
2K
How Do You Calculate Dice Game Probabilities with Multiple Variables?
Replies
5
Views
5K
Sports Illustrated Jinx : Regression to the Mean
Replies
6
Views
6K
How do we simulate time flow in video games? EE/PHYS
Replies
2
Views
2K
I When should we take numerology seriously?
Replies
19
Views
6K
How Can Bayesian Analysis Estimate Player A's Winning Probability in a Match?
Replies
5
Views
2K

Hot Threads

Recent Insights

Back
Top