Metasonic Brain Interface Intelligence Quantitative Theory

Here, a metasonic brain interface intelligence quantitative theory is proposed to introduce a sort of asymbiosis inspired interconscious modeling, a form of ecological cognition that emerges between interacting systems rather than within any single biological or artificial agent. By modeling cognitive capacity and metasonic interface bandwidth for both biological and machine agents, it is shown that interface intelligence emerges when interacting systems possess compatible capacities and communication channels. This theory provides a quantitative and scoring framework for understanding emergent interface intelligence, highlighting inter-system cognition and possibility of measuring level of interconscious and interhumanism evolutionary vectors as a distinct and measurable phenomenon. Instances from nature, human augmentation, and AI developments are provided, and interface intelligences are scored using the theoretical framework derived with original mathematical formulas in this paper and initial numerical assumptions in a computer simulation. The theory extension for interhumanism can be insightful combined with behavioral economics to look into its logics and pillars, and is ripe for debate among rivalry dummies advocating or opposing the posthumanism versus transhumanism for benchmarking emerging intelligences. The results for computational modeling matters for human to predict degrees of possible metasonic superintelligence threats or transhuman augmentations--e.g. chimera concept possibility--related to corporate AI investment strategies and policies.