Thalren Vale Simulation Logs — 100-Run Ensemble (10,000 Ticks Each)

# Thalren Vale Simulation Logs — 100-Run Ensemble (10,000 Ticks Each)

This dataset contains the complete raw simulation logs from 100 independent runs of the Thalren Vale civilizational agent-based model, as described in the accompanying paper:

> Simms, B. (2026). *Thalren Vale: Civilizational-Scale Social Emergence from Survival-Scale Agent Heuristics*.

Each run simulates 10,000 ticks with populations up to 1,000 agents across a nine-layer architecture (terrain, inhabitants, beliefs, factions, economy, combat, technology, diplomacy, and mythology). All runs were executed on a consumer-grade Intel N95 mini-PC with no GPU.

## Contents

- 100 plain-text log files (`run_YYYYMMDD_HHMMSS.txt`), one per simulation run

- Approximately 1.3 million lines per file; ~130 million lines total

- Total uncompressed size: ~12 GB

## Log Format

Events from Layers 1–8 use the format `Tick NNNN: EVENT_DESCRIPTION`. Layer 9 (religion/mythology) events use the format `[t=NN] EVENT_DESCRIPTION`. Each file records the full event trace of a single simulation from tick 0 through tick 10,000.

## Logged Event Types

- Agent births, deaths, and migration

- Faction formation, merging, and dissolution

- War declarations, battles, and truces

- Trade-route establishment and economic exchange

- Technology research and branch unlocks (martial, civic, economic)

- Belief propagation, cultural assimilation, and Reverse Assimilation

- Democratic governance votes and override events

- Religion founding, temple construction, and holy wars

- Plague, civil war, and stochastic disruption events

## Reproducibility

All runs are fully deterministic given the same seed and `PYTHONHASHSEED=0`. Any individual run can be reproduced from source using:

```

python run_experiments.py --seed N

```

Source code: [https://github.com/Kriaetour/ai-sim-emergent-agents](https://github.com/Kriaetour/ai-sim-emergent-agents)

## License

Polyform Noncommercial License 1.0.0

## Related Identifiers

- GitHub repository: https://github.com/Kriaetour/ai-sim-emergent-agents (isSupplementedBy)