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Quantum-Like Sampling
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Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model

Universidade da Coruña (CITIC), Campus de Elviña, 15071 A Coruña, Spain
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Academic Editors: Jose L. Salmeron and Christophe Guyeux
Mathematics 2022, 10(2), 189; https://doi.org/10.3390/math10020189
Received: 15 November 2021 / Revised: 22 December 2021 / Accepted: 4 January 2022 / Published: 8 January 2022
(This article belongs to the Special Issue Advances in Quantum Artificial Intelligence and Machine Learning)
In this paper, we illustrate that inaccurate knowledge can be efficiently implemented in a quantum environment. For this purpose, we analyse the correlation between certainty factors and quantum probability. We first explore the certainty factors approach for inexact reasoning from a classical point of view. Next, we introduce some basic aspects of quantum computing, and we pay special attention to quantum rule-based systems. In this context, a specific use case was built: an inferential network for testing the behaviour of the certainty factors approach in a quantum environment. After the design and execution of the experiments, the corresponding analysis of the obtained results was performed in three different scenarios: (1) inaccuracy in declarative knowledge, or imprecision, (2) inaccuracy in procedural knowledge, or uncertainty, and (3) inaccuracy in both declarative and procedural knowledge. This paper, as stated in the conclusions, is intended to pave the way for future quantum implementations of well-established methods for handling inaccurate knowledge. View Full-Text
Keywords: quantum computing; artificial intelligence; certainty factors; inaccurate reasoning; quantum rule-based systems quantum computing; artificial intelligence; certainty factors; inaccurate reasoning; quantum rule-based systems
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MDPI and ACS Style

Moret-Bonillo, V.; Magaz-Romero, S.; Mosqueira-Rey, E. Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model. Mathematics 2022, 10, 189. https://doi.org/10.3390/math10020189

AMA Style

Moret-Bonillo V, Magaz-Romero S, Mosqueira-Rey E. Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model. Mathematics. 2022; 10(2):189. https://doi.org/10.3390/math10020189

Chicago/Turabian Style

Moret-Bonillo, Vicente, Samuel Magaz-Romero, and Eduardo Mosqueira-Rey. 2022. "Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model" Mathematics 10, no. 2: 189. https://doi.org/10.3390/math10020189

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