A.3.3:3 - Forces · fpf.tools

Force	Tension
Universality and domain richness	One kernel pattern must cover ODEs, PDEs, Markov kernels, queues, discrete events, Bayesian updates, enterprise characteristic evolution, and architecture-quality change without flattening the domain-specific model.
Model and world	`U.Dynamics` is an episteme, while evidence comes from dated work, telemetry, observation, and source relations.
Continuous, discrete, stochastic, and hybrid forms	Time references, update rules, likelihood models, and disturbances differ; the state-space and transition-law declaration must keep them explicit.
Prediction and intervention	The same law can support exploration, while a control action may require additional validation and assurance.
Mathematical power and transfer risk	Mathematical form can make prediction precise, but transfer across domains, scales, or representations needs `C.29` and sometimes `A.6.0`.
Freshness and gate pressure	Predictions are attractive when observation is slow or expensive; gate use still needs stated currentness and applicability conditions.