Realizon

Realizon is a theoretical term used to describe the process by which potential states, plans, or actions are converted into actualized outcomes within a system, agent, or model. In philosophy of action and in computational modeling, realizon serves to distinguish what could occur from what does occur, emphasizing the transition from deliberation or possibility to concrete result.

The word appears as a neologism in online and some academic discussions since the mid-2010s, often in speculative or thought-experiment contexts. It is sometimes presented as a concise label for the act of turning intent into effect, or for a stage in planning workflows where options are resolved into a chosen course of action.

In philosophy of action, realizon is used to analyze how intentions, commitments, and causal conditions yield actions. In artificial intelligence and simulation, the concept maps to the execution phase where a selected plan is enacted and its real-world states emerge as outcomes, enabling subsequent feedback and learning.

Realizon is related to but distinct from realization (the cognitive or ontological process of becoming real) and actualization (the bringing into existence of a state). It is sometimes contrasted with prediction or anticipation, which concern potential futures rather than realized results.

As a relatively new and informal term, realizon lacks widespread formal definition or standard metrics, and its usage varies by author. It is most often encountered in discussions of agency, planning, and action under uncertainty.