PhilArchive
open access
Reconstructing the Dark Forest as a Bayesian Game: Exact Conditions for Concealment, Pre-emption and Credible Contact
The Dark Forest hypothesis treats cosmic silence as the strategic consequence of uncertainty, catastrophic vulnerability and incentives for pre-emptive attack. Its central conclusion is usually stated intuitively rather than derived from an explicit incomplete-information game. This paper develops the Bayesian Dark Forest Game, a signalling game between a detected civilisation of privately known type and a receiver choosing whether to wait or strike. The model derives an exact posterior threshold and likelihood-ratio test for rational pre-emption. It proves that uncertainty alone is insufficient: a Dark Forest regime additionally requires catastrophic stakes, a hostile hazard, an effective offensive option, weak gains from peaceful contact and the absence of a credible signal that hostile types cannot imitate. A sender-side exposure condition separates rational concealment from receiver aggression. Pooling and separating Perfect Bayesian Equilibria show when universal concealment is sustainable and when costly authentication permits cautious contact. Extensions incorporate ambiguity aversion and light-speed delay through an endogenous hostile hazard. Numerical regimes demonstrate that defence dominance, conditional pre-emption and near-universal suspicion arise from distinct parameter combinations. The Dark Forest is therefore a contingent equilibrium region, not a theorem of cosmic sociology.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Resolving the Raven Paradox: Simple Random Sampling, Stratified Random Sampling, and Inference to Best Explanation#776430
- Autonomous Probe Networks as an Explanation for the Irreducible Core of Unidentified Anomalous Phenomena: An Interpretive Framework with Testable Predictions}#691247
- Surprise Reduction and Nullification in Bayesian and Inverse Bayesian Inference under Ambiguous Prediction-Error Attribution#998502
- Fool's Gold: Defensive Deception Against Safety-Removal Attacks on Open-Weight Models#463172
- Prefix Visibility Ratio: Quantifying Partial Observability in Carpet Bombing Detection#1414407
Record · ID 1503978
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive