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Compost

The project explores whether simple deterministic local rules can produce interesting global behavior in an artificial-life sandbox.

An experimental deterministic artificial-life simulator and complex-systems research project. Autonomous mathematical organisms consume binary input as FOOD, maintain internal state, energy and metabolism, grow structural bodies, hold territory, reproduce, die and compete for resources.

Experimentalv0.1.0MITPython
GitHub repositoryExample
Last verified
2026-09-16
Platform / runtime
Python 3.11+; sandbox runtime with persistent world state and telemetry

Purpose

The project explores whether simple deterministic local rules can produce interesting global behavior in an artificial-life sandbox.

Execution model

1Binary inbox input→2experiment-owned FOOD and world→3deterministic organism rules→4persistent state and observational telemetry

World model

Compost treats binary input as FOOD in the simulator's terminology. Organisms are autonomous mathematical entities with internal state, energy/metabolism, structural bodies and territory, plus deterministic reproduction and death transitions. These describe simulator bookkeeping, not biological processes.

Sandbox runtime and experiments

Inbox files are copied into experiment-owned storage, partitioned into FOOD, and processed under local rules for resources, growth, maintenance, territory and competition. The runtime persists world state and writes observational telemetry; the observer reports state rather than directing organisms. Captured experiments and supplied inputs support reproducible comparisons; live telemetry may be eventually consistent.

Experimental artificial-life and complex-systems research project. Not a biological model or production data-processing system.

Typical use

Run reproducible experiments over supplied binary inputs
Observe world snapshots, FOOD accounting, population, body mass, organism reserves and territory
Compare outcomes under deterministic local lifecycle and resource rules

Quick start

python -m pip install .
python -m mathematical_organism run sandbox --workers 4 --max-seconds 30
python -m mathematical_organism status sandbox --organisms

Repository evidence

  • README defines FOOD as binary input and organisms as mathematical simulator abstractions with state, energy, body, territory and lifecycle transitions
  • Runtime copies inbox files to experiment-owned storage, advances local rules, persists world state and writes telemetry
  • README explicitly says the project is not a biological model or production data-processing system; pyproject requires Python 3.11+ and declares version 0.1.0

Limits and status

  • Not a biological model
  • Not a production data-processing system
  • Experimental research project; results depend on implemented rules, parameters and captured inputs
  • Telemetry is observational and may be eventually consistent while workers run

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