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)