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.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-14
DOI
https://doi.org/10.5281/zenodo.22735915
Primary Topic
Space Science and Extraterrestrial Life
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Reconstructing the Dark Forest as a Bayesian Game: Exact Conditions for Concealment, Pre-emption and Credible Contact

Kwan Hong TAN
Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
preprint

Reconstructing the Dark Forest as a Bayesian Game: Exact Conditions for Concealment, Pre-emption and Credible Contact

Kwan Hong TAN
preprint en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Suffolk (GB), University of West London (GB), University of Northampton (GB), Graham International Implant Institute (US), Singapore University of Social Sciences (SG)
Life in Land
Space Science and Extraterrestrial Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.