In this episode, Ron Pisaturo, author of A Validation of Knowledge, discusses his theory of Causality and Induction.
How do we arrive at a conclusion on the basis of one observation? How do we assign initial probability? How do we know that causality is a plausible theory?
These are some of the questions that Ron raises and answers.
What does it mean to assign a probability of one half to a possible outcome?
Ron discusses how causality and equally likely possible outcomes prove induction.
The N/(N+1)
A brief history of the Bayesian Theorem.
Probability depends not only one equally likely possibilities, but also on the prior probability, therefore causality is at least plausible possibility.
In the next and final episode Ron Pisaturo will discuss how the process of integration makes our inductions more powerful and robust.
http://www.ronpisaturo.com
In this episode, Ron Pisaturo, author of A Validation of Knowledge, discusses his theory of Causality and Induction.
How do we arrive at a conclusion on the basis of one observation? How do we assign initial probability? How do we know that causality is a plausible theory?
These are some of the questions that Ron raises and answers.
What does it mean to assign a probability of one half to a possible outcome?
Ron discusses how causality and equally likely possible outcomes prove induction.
The N/(N+1)
A brief history of the Bayesian Theorem.
Probability depends not only one equally likely possibilities, but also on the prior probability, therefore causality is at least plausible possibility.
In the next and final episode Ron Pisaturo will discuss how the process of integration makes our inductions more powerful and robust.
http://www.ronpisaturo.com