tool · draft
TimeLike
Steve Coy's simulation platform for decision-making: composable causal models of a system, run faster than real time to predict the consequences of possible courses of action and pick among them.
What is reusable: closed sourceunknown dataAPI unknownpartly open participation
TimeLike is a modelling and simulation framework from TimeLike Systems, the company Steve Coy founded in 2011. It descends from tempus, the general-purpose simulation framework Coy led at MZA Associates, whose optics tool WaveTrain became a standard in high-energy laser research. The company's approach is called SECHI, simulation-enabled cooperative human intelligence: experts encode what they know as causal models, the models are coupled into a model of a larger system, the simulation predicts the probable consequences of each course of action open to the user, and model-based optimisation narrows them to the course with the best expected outcome.
The engine is event-driven. Models are blocks with typed ports; a block does nothing until something it is connected to changes, asks it for a value, or a scheduled event fires, so each block can carry its own physics and run at its own pace. Queries carry time, which is how causality falls out of the coupling, and components negotiate their fidelity with their neighbours instead of an expert tuning every run. The point is to run the virtual clock faster than the real one: a model fast enough to predict can act as a controller, which is the line between a mirror of a place and a twin that helps run it.
TimeLike holds no machine learning of its own and is positioned as intelligence augmentation rather than generative AI. A patent application, "Composable Self-Modeling Cyber-Physical Systems", is pending. Earlier tools in the lineage ran satellite-operator training in real time and wrapped a legacy Fortran adaptive-optics code.
Status: pre-release. The company is seeking collaborators, strategic partners and early adopters; there is no public download or pricing.
- form
- simulation framework
- group
- Agents and system dynamics
- homepage
- https://timelike.systems/
Tags: simulation, decision support, model-based optimization, event-driven