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.
Key Opinion Leaders
Judea Pearl's Interpretation of Causality
Judea Pearl literally created a science[2] and a model of computation[1] on this subject matter. He has a one hour video[4] on this subject. {{#ev:youtube |ZaPV1OSEpHw }}
Leslie Lamport's Interpretation of Causality
Leslie Lamport created the Lamport Algorithm which provides a infrastructure to synchronize or give logical time ordering of events across distributed systems. In this paper:Time, Clocks, and the Ordering of Events in a Distributed System[5], he not only presents the algorithm required to prescribe the algorithm, he also invoked his understanding of the physical meaning of causality, and talked about the use of state machine as a model of computation to help him think through the system.
Bob Coecke's Interpretation of Causality
Bob Coecke talked about causality in this video[6]: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. One may also look at the video[7] by Jonathan Barrett. {{#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[8] on Causality. {{#ev:youtube |44p9fAh3HAA|||||start=426 }}
Sean Carroll's Interpretation on Causality
Sean Carroll has an 80 minute video[9] on Causality. {{#ev:youtube |6slug9rjaIQ }}
References
- ↑ 1.0 1.1 Pearl, Judea (Jun 4, 2011). Causality: Models Reasoning, and Inference. local page: Cambridge University Press. ISBN 9780521773621.
- ↑ 2.0 2.1 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.
- ↑ Pearl, Judea (Nov 30, 2018). Keynote: Judea Pearl - The New Science of Cause and Effect. local page: PyData.
- ↑ Lamport, Leslie (July 1978). "Time, Clocks, and the Ordering of Events in a Distributed System" (PDF). 21 (7). local page: Communication of ACM.
- ↑ Coecke, Bob (Nov 14, 2017). Bob Coecke: From quantum processes to cognition via pictures. local page: Latvijas Universitāte.
- ↑ Barrett, Jonathan (Apr 30, 2022). Causal Influence in Quantum Theory. local page: Simons Institute.
- ↑ Cranmer, Kyle (Mar 21, 2022). Causality at the Intersection of Simulation, Inference, Science, and Learning. local page: YaleUniversity.
- ↑ Carroll, Sean (Apr 23, 2022). The Arrow of Time in Causal Networks. local page: Simons Institute.