Evolutionary Post-human and Artificial Superintelligence Emanating from Biological Modelling of Mind/Brain

The aim of this study was to assess human’s measurable potentials and biological modelling of mind/brain required for designing superintelligence and delineating the transition from normal human to the evolutionary post-human. Big data analysis was based evaluation on computational and physical intelligence. Data were yielded from ۱۶۱ participants administered in the eight different sectors. The researcher used the mixed-methods sampling strategy in which a non-probability quantitative sampling was used. The researcher gathered data using (non)-cognitive, physical, and hematology tests and observation study. Analyses were performed using SPSS software. The method of analysis was statistical, interpretive and meta-inferential. The differences among the sectors were significant regarding executive functions. The lowest frequently used computational intelligence was semantic and working memory. Most participants were linear/automatic decision-makers. Coupling physical intelligence (PI) and computational intelligence (CI), the cognitive modeling was implemented. The executive function index was mediocre in this study which calls for cognitive engineering, artificial superintelligence and neuromorphic engineering. CI-PI coupling, neural approximation project (NAP) and whole brain emulation (WBE) can be tilted up and telescoped in ‘uploading’ which is the result of forward/inverse modeling of the human brain/mind. The digital reproduction of the original intellect should be aligned with that of computational and physical intelligence representation to design artificial superintelligence and transhumanism. Converging Technology (CT) encompasses transhumanism and superintelligence which in turn require engineered biological processes.

کلیدواژه ها:

Post-human ، biological modelling of mind/brain ، artificial superintelligence