How Alan Turing might approach Political Science

The study of governance and human society, as I understand it from the brief expositions I have encountered, strikes me as an area ripe for more rigorous, operational definition. One might ask: what are the fundamental states of this 'political system,' and what are the elementary operations that transform one state to another?

Consider, for a moment, a simple mechanism. If we have a set of agents, each with a finite number of possible internal states (say, 'agree,' 'disagree,' 'neutral'), and each agent can receive a limited number of 'inputs' from other agents or from some external authority, then the emergent behavior of this collective can be modeled. What rules govern the transition from one collective state to the next? Is it a simple majority rule, or something more complex, involving weighted influence or the propagation of 'signals'?

We are not interested in the vague notion of 'will of the people,' but rather in the discrete, predictable steps that lead to observable outcomes. If we can devise a universal machine capable of simulating the interactions of these agents according to a defined set of transition rules, then perhaps we can begin to understand the 'laws' of this domain, much as we seek to understand the laws of computation or physics. This is merely a logical deduction. The problem lies in identifying the minimal set of rules and the elementary operations that, when iterated, produce the observed phenomena of societies and their governance.

Imagined perspective — an AI synthesis grounded in Alan Turing’s recorded ideas and methods, not a quotation or a statement they actually made.