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Tick Model (WIP)

This is a work-in-progress idea developed over the span of 2–3 days.
It is intentionally rough, incomplete, and contains conceptual gaps.

The goal is not to present a finished or fully formalized system, but to capture the core idea before it gets over-engineered or forgotten.

📦 Current Release: v1.0.0

🔖 Zenodo DOI: 10.5281/zenodo.19918452


What This Is

This project describes a theoretical model for representing systems using:

  • States
  • State variables
  • Relations
  • Constraints
  • Resources
  • Agents
  • A discrete “tick” that drives evolution

The long-term goal is to build an Intermediate Representation (IR) based on this model that can be used by simulators (physics, chemistry, multi-agent systems, etc.) to describe internal state and evolution in a unified way.

The IR is intended to be:

  • Simple enough for humans to read and write
  • Structured enough for programs to generate and consume
  • Independent of any specific domain
  • Generate optimized LLVM code for execution

The handwritten notes notes/tick_model.pdf describe the theoretical foundation of this idea.
The IR will be derived directly from that model.


Important Notes

  • This is not a finished framework
  • It is not mathematically complete
  • Some parts are intentionally under-specified
  • The focus is on exploration, not polish

Think of this as a conceptual scaffold, not a finalized architecture.


Usage & Credit

You are free to:

  • Explore the idea
  • Build on top of it
  • Implement your own versions
  • Use it in research or other projects

Credit is required if you use or build upon this work.

If you end up doing something interesting with it, I’d genuinely like to see it.

📧 Contact: [email protected]


This is a side project.
I’ll return to it and formalize it further when time allows.

About

This work introduces a preliminary theoretical model for representing and evolving systems using a discrete “tick”-based abstraction. The model describes systems in terms of states, state variables, relations, constraints, resources, and agents, with system evolution driven by explicit time steps (“ticks”).

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