Causality
Causality(Q179289) is an assertion that states that one event is the direct consequence of the other. The mathematical model of causality has been investigated by Judea Pearl[1][2]. In the book:Picturing Quantum Processes[3]Cite error: Invalid <ref> tag; invalid names, e.g. too many, the following statement is said about causality.
Bob Coecke's Interpretation of Causality
Bob Coecke talked about causality in his talk:From quantum processes to cognition via pictures. He even stated that a simple diagram with just one discard symbol can represent the entire Theory of Relativity. {{#ev:youtube |h84CtK33Q8s|||||start=3000&end=3200 }}
If the output of a process is discarded, it may as well have never happened.
Please also look up the following sections related to causalityCite error: Invalid <ref> tag; invalid names, e.g. too manyCite error: Invalid <ref> tag; invalid names, e.g. too manyCite error: Invalid <ref> tag; invalid names, e.g. too manyCite error: Invalid <ref> tag; invalid names, e.g. too manyCite error: Invalid <ref> tag; invalid names, e.g. too manyCite error: Invalid <ref> tag; invalid names, e.g. too many.
Kyle Cranmer's Interpretation on Causality
Kyle Cranmer has a 90 minute video[4] on Causality. {{#ev:youtube |h84CtK33Q8s|||||start=426 }}
References
- ↑ Pearl, Judea (Jun 4, 2011). Causality: Models Reasoning, and Inference. local page: Cambridge University Press. ISBN 9780521773621.
- ↑ Pearl, Judea (2018). The Book of Why: The New Science of Cause and Effect. local page: Basic Books. ISBN 978-0-465-09761-6.
- ↑ Coecke, Bob; Kissinger, Aleks (2017). Picturing Quantum Processes. local page: Cambridge University Press. ISBN 978-1316219317.
- ↑ Cranmer, Kyle (Mar 21, 2022). Causality at the Intersection of Simulation, Inference, Science, and Learning. local page: YaleUniversity.