Research

Publications and preprints spanning mathematical physics, machine learning, and AI systems.

Homogeneity, Isotropy, and Determinism Force a Quadratic Spacetime Interval: A Derivation of Relativity Without Light

Deon Nicholas · arXiv preprint (math-ph, gr-qc, math.DG, math.MG) · 2026

We show that smoothness, homogeneity, isotropy, and the determinism of inertial motion force the invariant interval governing the geometry of spacetime to reduce to a quadratic form, without presupposing the existence of light or electromagnetic phenomena. We formalize these principles as axioms about an invariant interval function and prove that smoothness and homogeneity compel it to be homogeneous of degree p > 0; determinism requires geodesics to be straight lines; and isotropy constrains the function to the form D(v) = C(v^T S v)^(p/2) for a nondegenerate symmetric matrix S. When S is indefinite, p must equal 2. Only powers of nondegenerate quadratic forms are admissible invariant intervals, encompassing Euclidean, Minkowski, and ultrahyperbolic geometries.

Automated Labeling of Bugs and Tickets Using Attention-Based Mechanisms in Recurrent Neural Networks

Volodymyr Lyubinets, Taras Boiko, Deon Nicholas · IEEE Second International Conference on Data Stream Mining & Processing (DSMP 2018) · 2018

We explore solutions for automated labeling of content in bug trackers and customer support systems. In order to do that, we classify content in terms of several criteria, such as priority or product area, using attention-based mechanisms in recurrent neural networks.

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Decision-Theoretic Clustering of Strategies

Nolan Bard, Deon Nicholas, Csaba Szepesvári, Michael Bowling · AAAI Workshop: Computer Poker and Imperfect Information (AAMAS 2015) · 2015

Clustering agent strategies based on the utility they achieve rather than their surface behavior. We introduce a decision-theoretic approach to clustering strategies in imperfect information games, applied to computer poker.

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Patents