Difference between revisions of "Monoid"
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[[wikipedia:Monoid|Monoid]] ([[wikipedia:zh:幺半群|幺半群]]), according to Wikipedia, it 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. | [[wikipedia:Monoid|Monoid]] ([[wikipedia:zh:幺半群|幺半群]]), according to Wikipedia, it 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>, | 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><ref>{{:Book/The Master Algorithm}}</ref>. This idea has been extended to Bayesian inferencing<ref>{{:Thesis/Causal Theories: A Categorical Perspective on Bayesian Networks}}</ref>, | ||
Revision as of 12:51, 5 July 2023
Monoid (幺半群), according to Wikipedia, it 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][2]. This idea has been extended to Bayesian inferencing[3],
References
- ↑ Dolan, Stephen (July 19, 2013). "mov is Turing-complete" (PDF). local page: Computer Laboratory, University of Cambridge.
- ↑ Domingos, Pedro (February 13, 2018). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Revised ed.). local page: Basic Books. ISBN 978-0465094271.
- ↑ 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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