Mind · Reasoning
NaturalRiskMathematics
Model natural risk with three mathematics used together: game theory, information theory and computer theory
Definition
Mechanism
To model how agents, from genes and cells to firms, manage risk in organisation growth, combine three bodies of mathematics, each extended beyond its usual use. Game theory covers coordination and cooperation, including pure coordination games in which the game itself keeps changing. Information theory covers flows, codes and channels, as in ChannelCapacity, read as a theory of the value of information and not only of its transmission. Computer theory covers languages, acceptors and work, so that computation is a model of any work and of the options a system holds. Together they let MetaModularity be defined precisely: many overlapping models related through languages, channels and games. The approach is set against relying on nonlinear dynamical equations and feedback alone, which describe shapes from outside without explaining why a system keeps or changes shape.
Invariants
- No single one of the three suffices; the value lies in how they interact
- Each is used in an extended form: changing games, information valued in itself, computation as work and options
- The aim is a causal theory of risk factors, not a description of the shapes a system produces
Risks
Failure modes
Using the three side by side without connecting them
Falling back on feedback and nonlinear dynamics as a general explanation
Relationships
Builds on
References
Infrastructure
The maximum rate at which information can be reliably transmitted through a channel, given its noise
A body plan that holds many overlapping but non-identical models of the same problem, ready to instantiate whichever fits
Nothing in this library builds on this pattern yet.