Generative Science - Generative Sciences and Determinism

Generative Sciences and Determinism

In the weltanschauung of generative sciences including cognitive sciences and evolutionary psychology, free will does not exist. However, an illusion of free will is experienced, due to the perception of the generation of infinite or computationally complex behavior from the interaction of a finite set of rules and parameters. Thus, the unpredictability of the emerging behavior from deterministic processes leads to a perception or illusion of free will, even though free will as an ontological entity does not exist. Therefore even if the behavior could be computed ahead of time, no way of doing so will be simpler than just observing the outcome of the brain's own computations.

As an illustration, the strategy board-games chess and Go have rigorous rules in which no information (such as cards' face-values) is hidden from either player and no random events (such as dice-rolling) happen within the game. Yet, chess and especially Go with its extremely simple deterministic rules, can still have an extremely large number of unpredictable moves. By this analogy, it is suggested, the experience of free will emerges from the interaction of finite rules and deterministic parameters that generate nearly infinite and practically unpredictable behaviour. In theory, if all these events were accounted for, and there were a known way to evaluate these events, the seemingly unpredictable behaviour would become predictable. Another hands-on example of generative processes is John Horton Conway's playable Game of Life. Cellular automata and the generative science explain and model emergent processes of physical universe, neural cognitive processes and social behavior on this philosophy of determinism.