Symmetry/Asymmetry in Artificial Intelligence with Application
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 24
Special Issue Editor
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry are fundamental concepts in both the natural and artificial worlds, shaping the way systems are organized, perceived, and optimized. In artificial intelligence (AI), these notions play a critical role across multiple domains: from the design of neural architectures that exploit group symmetries to data representations that capture invariances and optimization strategies that leverage balanced or unbalanced structures. Symmetry enables robustness, generalization, and interpretability, while asymmetry often introduces flexibility, expressivity, and adaptivity. Understanding how these complementary principles interact is vital for advancing both the theory and practice of AI.
This Special Issue on “Symmetry/Asymmetry in Artificial Intelligence with Application” aims to bring together research that investigates these dual aspects in machine learning, data science, optimization, and applied domains. Topics of interest include symmetry-inspired models such as equivariant neural networks, asymmetry-aware architectures for graph and sequence learning, algebraic and geometric methods for symmetry detection, and real-world applications ranging from physics-informed AI to social systems, bioinformatics, and computer vision. By highlighting both the harmonies and tensions between symmetry and asymmetry, this Issue seeks to deepen our understanding of fundamental AI principles and to foster new methodologies that harness these ideas for practical impact.
Dr. Yoshihiro Maruyama
Guest Editor
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.
Keywords
- geometric deep learning
- equivariant and invariant learning
- representation learning
- graph and network symmetries
- algebraic and categorical methods in AI
- physics-informed and scientific AI
- applications of symmetry/asymmetry in real-world systems
- symmetry in artificial intelligence
- asymmetry in artificial intelligence
- symmetry breaking in machine learning
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