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Symmetry
Special Issues
Symmetry in Computational Intelligence and Applications
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Special Issue "Symmetry in Computational Intelligence and Applications"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 4862

Special Issue Editors

Dr. Danilo Sipoli Sanches

E-Mail Website
Guest Editor
Departamento Acadêmico de Computação, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
Interests: bioinformatics; non-coding DNA/RNA; meachine learning
Dr. Lucas Dias Hiera Sampaio
E-Mail Website
Guest Editor
Department of Computer Science, Universidade Tecnológica Federal do Paraná, Paraná, Brazil
Interests: telecommunications; evolutionary computation
Dr. Henrique Yoshikazu Shishido

E-Mail Website
Guest Editor
Department of Computing, Universidade Tecnológica Federal do Paraná, Paraná, Brazil
Interests: grid; cloud and fog computing; scheduling on cloud; edge; workflow; health informatics; learning objects; evolutionary computation
Dr. Cléber Gimenez Corrêa

E-Mail Website
Guest Editor
Department of Computer Science, Universidade Tecnológica Federal do Paraná, Paraná, Brazil
Interests: human-computer interaction; virtual reality; augmented reality
Dr. Silvio Ricardo Rodrigues Sanches

E-Mail Website
Guest Editor
Department of Computer Science, Universidade Tecnológica Federal do Paraná, Paraná, Brazil
Interests: computer vision; virtual reality; augmented reality

Special Issue Information

Dear Colleagues,

This Special Issue covers symmetry/asymmetry phenomena on computational intelligence methods and applications in different fields, including: artificial intelligence, cognitive approaches, web intelligence, knowledge mining, cybernetic, cyber-physical systems, cloud computing, telecommunications, computer vision, virtual reality, and bioinformatics.

We hope to spread information among researchers, designers, manufacturers, and users in this exciting field with this Special Issue.

Dr. Danilo Sipoli Sanches
Dr. Lucas Dias Hiera Sampaio
Dr. Henrique Yoshikazu Shishido
Dr. Cléber Gimenez Corrêa
Dr. Silvio Ricardo Rodrigues Sanches
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Published Papers (1 paper)

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Article
Fathoming the Mandela Effect: Deploying Reinforcement Learning to Untangle the Multiverse
by
A’aeshah Alhakamy
Symmetry 2023, 15(3), 699; https://doi.org/10.3390/sym15030699 - 10 Mar 2023
Viewed by 4489
Abstract
Multiverse is a hypothetical idea that other universes can exist beyond our own. Various scientific theories have suggested scenarios such as the existence of bubble universes that constantly expand or string theory that attempts to merge gravity with other forces. Thus, a multiverse [...] Read more.
Multiverse is a hypothetical idea that other universes can exist beyond our own. Various scientific theories have suggested scenarios such as the existence of bubble universes that constantly expand or string theory that attempts to merge gravity with other forces. Thus, a multiverse is a complex theoretical phenomenon that can best be conceived through computer simulation. Albeit within the multiverse, the causality of the Mandela effect is entirely possible. To examine the behavior of the multiverse as a representative ensemble, each universe as a specific ensemble element needs to be generated. Our universe generation is based on unique universes for two binary attributes of a population of n=303. The maximum possible universes this could produce within the multiverse is in the exponent of 182. To computationally confine the simulation to the scope of this study, the sample count of the multiverse is nmultiverse=606. Parameters representing the existence of each multiverse are implemented through the μ and σ values of each universe’s attributes. By using a developed reinforcement learning algorithm, we generate a multiverse yielding various universes. The computer gains consciousness of the parameters that can represent the expanse of possibility to exist for multiple universes. Furthermore, for each universe, a heart attack prediction model is performed to understand the universe’s environment and behavior. We test the Mandela effect or déjà vu of each universe by comparing error test losses with the training size of order M. Our model can measure the behavior of environments in different regions referred to as specific ensemble elements. By explicitly exploiting the attributes of each universe, we can get a better idea of the possible outcomes for the creation of other specific ensemble elements, as seen in the multiverse space planes. Full article
(This article belongs to the Special Issue Symmetry in Computational Intelligence and Applications)
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