Strategy simulation for geopolitics — modeling interdependencies, incentives, and outcomes at the systems level, so reasoning can run further than intuition alone.
Geopolitics is a dense web of interdependencies: trade, energy, security, and reputation all couple states’ choices together, so a move by one party reshapes the incentives of every other. Human intuition struggles to hold more than a few of these threads at once, which is exactly where reasoning quietly breaks down and second-order effects get missed.
This quest imagines a game-theoretic machine for that web: a way to represent actors, their incentives, and the dependencies between them, then explore how strategies and outcomes ripple through the system. The point is not to predict the future, but to make the structure of a situation legible — to surface the moves and counter-moves that a purely intuitive read would overlook.
When the option space is modeled explicitly, it becomes possible to look past the immediate exchange and ask where the incentives actually point. That same lens can reveal cooperative equilibria as readily as conflictual ones — the arrangements where several parties are better off than they are in the standoff. A systems-level view is a precondition for finding those omni-win moves rather than assuming the game is zero-sum.
The actors in this machine are not only states. They are power poles — and which poles exist, and how they relate, is itself a function of the developmental worldviews in play (the same lens explored in Bridging Worldviews in Politics). A traditional, modern, and integral pole read the same situation through different value structures, so the “incentives” in the model are never purely material; they are refracted through worldview. Modeling the poles of power therefore means modeling the developmental stages that generate them.
A core sub-quest is to cohere and cluster the positions actors hold — to measure how uniformly a given actor acts, and how non-uniformly it could act if it chose to. This scales all the way down: not only to a single individual, but to the distinct parts within one individual. The nesting, from the inside out:
The thesis the visualization should make legible: individual European countries could act on their own, but are choosing to act as one European entity. The relation between Europe-as-a-whole and, say, Brazil is more uniform than the relation between two arbitrary countries — uniformity is the signal of a coherent pole. The same coherence-vs-fragmentation measure applies at every level of the nesting.
A first prototype of the nested-holon view — circle-packing in the d3 idiom. Each circle contains the level below it (bloc → country → Land → region → organization → individual → parts of one individual). Europe is drawn as a single large pole that contains its member countries: they could stand alone, but have chosen to nest into one coherent whole. Brazil and the USA sit alongside as peer poles. Tighter nesting = higher uniformity. Hover a circle for its level.
Prototype — illustrative data. The full version weights inter-pole edges by how uniformly poles act together. Referenced from developmental world news as an analytical lens.
Dormant. The concept is recorded and the motivation is clear, but no build is underway. It waits on a tractable first scenario and a modeling approach honest enough to be useful without overclaiming what a simulation of geopolitics can actually know.