Numerical methods for infinite decision-making processes

Davide Rizza

Numerical methods for infinite decision-making processes

Davide Rizza

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

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Abstract

The new computational methodology due to Yaroslav Sergeyev (see [25–27]) makes it possible to evaluate numerically the terminal features of complete, sequential decision-making processes. By standard numerical methods, these processes have indeterminate features or seem to support paradoxical conclusions. We show that they are better regarded as a class of problems for which the numerical methods based on Sergeyev’s methodology provide a uniform technique of resolution.

Original language	English
Pages (from-to)	139-158
Number of pages	20
Journal	International Journal of Unconventional Computing
Volume	14
Issue number	2
Publication status	Published - 1 Apr 2019

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https://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-14-number-2-2019/ijuc-14-2-p-139-158/

Davide Rizza
- D.Rizzauea.acuk
- School of Politics, Philosophy and Area Studies - Associate Professor in Philosophy
- Algebra, Number Theory, Logic, and Representations (ANTLR) - Member
- Philosophy - Member
Person: Research Group Member, Academic, Teaching and Research

Cite this

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abstract = "The new computational methodology due to Yaroslav Sergeyev (see [25–27]) makes it possible to evaluate numerically the terminal features of complete, sequential decision-making processes. By standard numerical methods, these processes have indeterminate features or seem to support paradoxical conclusions. We show that they are better regarded as a class of problems for which the numerical methods based on Sergeyev{\textquoteright}s methodology provide a uniform technique of resolution.",

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AB - The new computational methodology due to Yaroslav Sergeyev (see [25–27]) makes it possible to evaluate numerically the terminal features of complete, sequential decision-making processes. By standard numerical methods, these processes have indeterminate features or seem to support paradoxical conclusions. We show that they are better regarded as a class of problems for which the numerical methods based on Sergeyev’s methodology provide a uniform technique of resolution.

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Numerical methods for infinite decision-making processes

Abstract

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Davide Rizza

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