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St John Grimbly

Department of Computer Science, University of Cape Town

Builder The claim is about what the hardware does, and the philosophy is left open

St John Grimbly is a researcher in the Department of Computer Science at the University of Cape Town working with Jonathan Shock, Benjamin Rosman, Ryan Smith, and Mark Solms on computational models of homeostasis, interoception, and affective agency. His work implements Solms’s brainstem homeostatic drive theory inside discrete-state partially observable Markov decision processes under active inference.

In his October 2026 paper, “Two Routes to Interoceptive Prioritisation: Preference Reweighting and Likelihood Precision in Multi-Need Homeostatic Agents” (arXiv:2610.18617), Grimbly introduced the AffectWorld benchmark, where an embodied agent must balance three coupled lethal needs (hunger, thirst, and oxygen) while learning its own interoceptive likelihood model online via Dirichlet count updates. Across 11 primary layouts and 72 pre-registered additional layouts, the study shows that urgency-based preference reweighting and precision-based visceral attention solve distinct failures and raise survival from 0.56 at baseline to 0.94 when combined.

Grimbly’s profile is Builder, representing the engineering translation of neuropsychoanalytic and active-inference principles into reproducible agent environments where architectural claims about drive and attention can be ablated directly.

Known for. AffectWorld multi-need active inference environment, two routes to interoceptive prioritisation (preference reweighting and likelihood precision)

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