Attila Egri-Nagy

Akita International University — Japan

Computer Science · Physical Sciences

12h-index324citations85works0.12yr avg
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Research Topics

semigroups and automata theory(31), Computability, Logic, AI Algorithms(14), DNA and Biological Computing(13), Genome Rearrangement Algorithms(12), Logic, programming, and type systems(11)

Publications85 total

Computing Embeddings and Isomorphisms of Finite Semigroups
2025· 2 citedOpen Access
Bringing Algebraic Hierarchical Decompositions to Concatenative Functional Languages
2025
Bringing Algebraic Hierarchical Decompositions to Concatenative Functional Languages
arXiv (Cornell University)·2025Open Access
Computational Exploration of Finite Semigroupoids
arXiv (Cornell University)·2025Open Access
Channeling the Flow – A Metaphor for Computer Programs
2025Open Access
Representation Independent Decompositions of Computation
arXiv (Cornell University)·2025Open Access
On Constructing Finite Automata by Relational Programming
arXiv (Cornell University)·2025Open Access
The Attractor-Cycle Notation for Finite Transformations
Springer proceedings in mathematics & statistics·2025
On Constructing Finite Automata by Relational Programming
Springer proceedings in mathematics & statistics·2025
Skeleton Key: Subduction Classes in Finite Transformation Semigroups and Green’s Relations
Springer proceedings in mathematics & statistics·2025
Algebraic Structure and Complexity of Games
Springer proceedings in mathematics & statistics·2025
Morphisms (should be) everywhere
arXiv (Cornell University)·2024Open Access
From Relation to Emulation and Interpretation: Computer Algebra Implementation of the Covering Lemma for Finite Transformation Semigroups
arXiv (Cornell University)·2024Open Access
Channeling the Flow — A Metaphor for Computer Programs
2024Open Access
From Relation to Emulation and Interpretation: Computer Algebra Implementation of the Covering Lemma for Finite Transformation Semigroups
Lecture notes in computer science·2024
Review of: "Why naturalists must give up deduction, or return to Hume"
2023Open Access
The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go
International Journal of Networking and Computing·2023Open Access
The cost of passing – using deep learning AIs to expand our understanding of the ancient game of Go
2022· 1 cited
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go
arXiv (Cornell University)·2022Open Access
Advancing Human Understanding with Deep Learning Go AI Engines
2022· 1 citedOpen Access
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Frequent Co-authors

Chrystopher L. Nehaniv(23), Andrew Francis(9), James D. Mitchell(8), Maria J. Schilstra(7), Volker Gebhardt(5), James East(5), Paolo Dini(4), Antti Törmänen(4), John Rhodes(3), Mark M. Tanaka(2), Gábor Horváth(2), Daniel Schreckling(2), Stuart Serdoz(2), Sangeeta N. Bhatia(2), Y. Péresse(1), Eric Rothstein Morris(1), Fariba Karimi(1), Katja Wegner(1), Johannes F. Knabe(1), Mark Robinson(1)