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Jyotiranjan Beuria

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#artificial intelligence Preprint Sep 2026

Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation

We investigate whether a Chern-Simons (CS) context reservoir is a viable computational substrate and whether evolving its gauge connection provides a benefit beyond simpler mechanisms. The reservoir state is a density fluctuation on a two-dimensional context manifold, whose drift is generated by a density-sourced conne...

Jyotiranjan Beuria, Venkatesh H. Chembrolu · 0 citations
Preprint Jul 2026

Self-Healing Coordination in Cognitive Swarm Agents with Bloch-Type Perceptual Memory

Reactive flocking models usually map current local observations directly to motion, leaving limited room for internal perceptual state to shape recovery after disruption. Building on a non-Markovian collective-motion model based on self-regulated perceptual dynamics, we ask whether the Bloch-type slow-fast architecture...

Jyotiranjan Beuria · 0 citations
Preprint Jul 2026

Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation

A classical Lindblad-inspired multi-timescale reservoir is introduced that bridges open-system dynamical principles with structured state-space modeling and offers an interpretable recurrent architecture in which mixing, memory, and stability are explicit and independently tunable design variables.

Jyotiranjan Beuria, Amit K. Shukla · 1 citation

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