Difference between revisions of "Monoid"

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[[wikipedia:Monoid|Monoid]] ([[wikipedia:zh:幺半群|幺半群]]) is a foundational algebraic structure that can be applied to many fields. For instance, in a Turing Machine, all operations can be thought of as some sequences of stack operations<ref>{{:Paper/mov is Turing-complete}}</ref>. This idea has been extended to Bayesian inferencing<ref>{{:Thesis/Causal Theories: A Categorical Perspective on Bayesian Networks}}</ref>,  
[[wikipedia:Monoid|Monoid]] ([[wikipedia:zh:幺半群|幺半群]]), according to Wikipedia, it is a [[monoid]] is a set equipped with an associative binary operation and an identity element. It is a foundational algebraic structure that can be applied to many fields.
 
For instance, in a Turing Machine, all operations can be thought of as some sequences of stack operations<ref>{{:Paper/mov is Turing-complete}}</ref>. This idea has been extended to Bayesian inferencing<ref>{{:Thesis/Causal Theories: A Categorical Perspective on Bayesian Networks}}</ref>,  





Revision as of 12:21, 5 July 2023

Monoid (幺半群), according to Wikipedia, it is a monoid is a set equipped with an associative binary operation and an identity element. It is a foundational algebraic structure that can be applied to many fields.

For instance, in a Turing Machine, all operations can be thought of as some sequences of stack operations[1]. This idea has been extended to Bayesian inferencing[2],



References

  1. Dolan, Stephen (July 19, 2013). "mov is Turing-complete" (PDF). local page: Computer Laboratory, University of Cambridge. 
  2. Fong, Brendan (2013). Causal Theories: A Categorical Perspective on Bayesian Networks (Master). local page: University of Oxford. Retrieved Jan 26, 2013. 

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