Basis unveils Dynestyx, a year-long effort on probabilistic reasoning for dynamical systems
xuanalogue · x · 2026-11-11
Zenna Tavares announced that Basis has spent the past year building Dynestyx, a general framework for probabilistic reasoning in dynamical systems, with blog, paper, and code.
- Dynamical systems are the workhorse of science and engineering (robotics, epidemiology, climate, biology), but the basic thing you can do with them is simulate — run forward in time.
- Dynestyx goes beyond simulation to inference and reasoning: forecasting (with quantified uncertainty), state inference from noisy partial measurements, system identification, and causal/counterfactual reasoning under interventions.
- A shared interface and sensible defaults mean researchers can adapt models and methods without rebuilding their analysis. It's part of Basis's cross-domain modeling and reasoning platform.
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