Jingjie: Probability Cloud - Nagumo's Dilemma
A Pacific carrier command simulation about imperfect reports, flight-deck pressure, and fairness-bounded enemy adaptation. Read uncertain contacts, manage CAP and recovery, and commit before the opportunity closes.
Jingjie: Probability Cloud - Nagumo's Dilemma is a Pacific carrier command simulation set against the carrier battles of World War II. "Nagumo" refers to Chuichi Nagumo, commander of the First Air Fleet during the opening Pacific War operations and the Battle of Midway. The game is not a biography or a celebration of any wartime regime; it uses this historical command problem as a frame for uncertainty, delayed reports, flight-deck pressure, and decisions made before the truth is fully known.
You do not pilot aircraft or command from a fully revealed map. You read contact evidence, judge confidence, age, and error area, manage carrier operations, and decide when an uncertain position is good enough to risk a strike.
The current Early Access build includes multiple authored scenarios, free play, and an endless sandbox. Its command surface routes contact evidence through launch readiness, air-group scheduling, and a professional combat workflow, while manual, semi-automatic, and bounded automatic control remain visible and interruptible.
Every report has age, error, and consequence. Scouts can find a possible carrier, lose the trail, return low on fuel, or deliver information that is already going stale. The opponent adapts to observable evidence and repeated habits without reading hidden player intent.
- Imperfect intelligence instead of an omniscient map.
- Carrier operations shaped by time, flight-deck capacity, CAP, scouting, recovery, and attack opportunities.
- A contact-to-strike path with visible confidence, readiness, scheduling, and workflow consequences.
- Manual, semi-automatic, and bounded automatic workflow control with visible safety constraints and manual intervention.
- Multiple authored scenarios, free play, endless sandbox, and after-action analysis for replayable command problems.
