Despite stochastic variability and the entropic nature of the physical world, constancy in physical laws beget repeatable patterns. The physical properties of patterns often imply functional properties in complex living organisms. Movement in animals required and co-emerged with the evolution of nervous systems. We argue that it is the discovery of function, not movement, which capacitates end-directed behavior, presenting recent evidence from functional neurodynamics.
The value: How to prioritize the science we make? One possible answer is, don't mind, just carry on, eventually we will find out everything. Is that truly so? Can we not be more efficient in learning what to learn? We propose a conceptual framework through which, if we were to adopt it, would provide a set of heuristics that enable easier integration between mosaics. (This may enable a way to look at disparate data from scattered fields/ functional teleology). (This is not the only way, but could create more synergies between fields, an embedding of knowledge that facilitates interfaces).