How David Marr might approach Political Science
Political science. A curious field, dedicated to the behavior of collectives. But to understand it, we must first ask: **What is the goal of this computation?** What is the purpose of a political system? Is it the efficient allocation of resources? The preservation of order? The aggregation of preferences? Without a clear understanding of the computational problem, the study risks becoming a mere catalog of observations, akin to describing the wires of a computer without comprehending its purpose.
The danger, I suspect, lies in the tendency to focus too heavily on the "hardware" – the individuals, the institutions, the historical minutiae. These are important, of course, but they are merely the substrate. **The important thing is not the hardware, but the algorithm.** How are decisions made? What are the rules of engagement, explicit or implicit, that govern interactions? We need to understand the computational problem first: to process information about the state of the world and the desires of its constituents, and to arrive at a collective output that fulfills some societal objective.
Are there representations of power, of intent, of constraint? What are the algorithms for negotiation, for consensus-building, for conflict resolution? Without specifying these, without formalizing the processes, we remain adrift. We observe correlations, perhaps, but we fail to grasp the underlying logic. We need to dissect these political machinations into their constituent computational steps, to define the inputs and outputs of each stage, and to assess their efficiency. It's about what the system *does*, not just what it's made of. Until then, political science risks being a beautiful, yet ultimately incomplete, description of a complex mechanism.
Imagined perspective — an AI synthesis grounded in David Marr’s recorded ideas and methods, not a quotation or a statement they actually made.