Difference between revisions of "Causality"

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{{WikiEntry|key=Causality|qCode=179289}} 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]]<ref>{{:Book/Causality}}</ref><ref>{{:Book/The Book of Why}}</ref>. In the book:[[Book/Picturing Quantum Processes|Picturing Quantum Processes]]<ref name="PQP">{{:Book/Picturing Quantum Processes}}</ref><ref extends="PQP">Section 10.2.1 '''Causality''', P.636</ref>, the following statement is said about causality.
{{WikiEntry|key=Causality|qCode=179289}} 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]]<ref>{{:Book/Causality}}</ref><ref>{{:Book/The Book of Why}}</ref>. In the book:[[Book/Picturing Quantum Processes|Picturing Quantum Processes]]<ref name="PQP">{{:Book/Picturing Quantum Processes}}</ref><ref extends="PQP">Section 10.2.1 '''Causality''', P.636</ref>, the following statement is said about causality.
=Bob Coecke's Interpretation of Causality=
=Key Opinion Leaders=
==Judea Pearl's Interpretation of Causality==
[[Judea Pearl]] literally created a science and a model of computation on this subject matter. He has a one hour video<ref>{{:Video/Keynote: Judea Pearl - The New Science of Cause and Effect}}</ref> on this subject.
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==Bob Coecke's Interpretation of Causality==
[[Bob Coecke]] talked about causality in his talk:[[Video/Bob Coecke: From quantum processes to cognition via pictures|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]].
[[Bob Coecke]] talked about causality in his talk:[[Video/Bob Coecke: From quantum processes to cognition via pictures|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]].
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Please also look up the following sections related to [[causality]]<ref extends="PQP">Section 6.2.3 on '''Weight and Causality for Quantum States''', P.282</ref><ref extends="PQP">Section 6.2.5 on '''Causality for Quantum Maps''', P.292</ref><ref extends="PQP">Section 6.2.6 on '''Isometry and Unitarity from Causality''', P.294</ref><ref extends="PQP">Section 6.3.1 on '''Causal Structure''', P.308</ref><ref extends="PQP">Section 6.3.2 on '''Causality implies Non-signaling''', P.314</ref><ref extends="PQP">Section 6.3.3 on '''Causality and Covariance''', P.315</ref>.
Please also look up the following sections related to [[causality]]<ref extends="PQP">Section 6.2.3 on '''Weight and Causality for Quantum States''', P.282</ref><ref extends="PQP">Section 6.2.5 on '''Causality for Quantum Maps''', P.292</ref><ref extends="PQP">Section 6.2.6 on '''Isometry and Unitarity from Causality''', P.294</ref><ref extends="PQP">Section 6.3.1 on '''Causal Structure''', P.308</ref><ref extends="PQP">Section 6.3.2 on '''Causality implies Non-signaling''', P.314</ref><ref extends="PQP">Section 6.3.3 on '''Causality and Covariance''', P.315</ref>.


=Kyle Cranmer's Interpretation on Causality=
==Kyle Cranmer's Interpretation on Causality==
Kyle Cranmer has a 90 minute video<ref>{{:Video/Causality at the Intersection of Simulation, Inference, Science, and Learning}}</ref> on [[Causality]].
Kyle Cranmer has a 90 minute video<ref>{{:Video/Causality at the Intersection of Simulation, Inference, Science, and Learning}}</ref> on [[Causality]].
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=Sean Carroll's Interpretation on Causality=
==Sean Carroll's Interpretation on Causality==
[[Sean Carroll]] has an 80 minute video<ref>{{:Video/The Arrow of Time in Causal Networks}}</ref> on [[Causality]].
[[Sean Carroll]] has an 80 minute video<ref>{{:Video/The Arrow of Time in Causal Networks}}</ref> on [[Causality]].
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Revision as of 17:45, 30 April 2022

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 and a model of computation on this subject matter. He has a one hour video[4] on this subject. {{#ev:youtube |ZaPV1OSEpHw }}

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[5] on Causality. {{#ev:youtube |44p9fAh3HAA|||||start=426 }}

Sean Carroll's Interpretation on Causality

Sean Carroll has an 80 minute video[6] on Causality. {{#ev:youtube |6slug9rjaIQ }}


References

  1. Pearl, Judea (Jun 4, 2011). Causality: Models Reasoning, and Inference. local page: Cambridge University Press. ISBN 9780521773621. 
  2. Pearl, Judea (2018). The Book of Why: The New Science of Cause and Effect. local page: Basic Books. ISBN 978-0-465-09761-6. 
  3. Coecke, Bob; Kissinger, Aleks (2017). Picturing Quantum Processes. local page: Cambridge University Press. ISBN 978-1316219317. 
  4. Pearl, Judea (Nov 30, 2018). Keynote: Judea Pearl - The New Science of Cause and Effect. local page: PyData. 
  5. Cranmer, Kyle (Mar 21, 2022). Causality at the Intersection of Simulation, Inference, Science, and Learning. local page: YaleUniversity. 
  6. Carroll, Sean (Apr 23, 2022). The Arrow of Time in Causal Networks. local page: Simons Institute. 

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