The Emerging Computational Biolinguistic Framework

The convergence of software and intelligent sciences forms the transdisciplinary field of computational intelligence. Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom-up (BU). The human brain is at least a factor of 1 billion more efficient than our present digital technology, and a factor of 10 million more efficient than the best digital technology that we can imagine today. The unavoidable conclusion is that current neuromorphic engineering has something fundamental to learn from the human brain and cells about a new and much more effective form of computation, with a convenient, effective, efficient, and reliable BU approach. The author presents a brain-inspired geometric-logical scheme defining fundamental human linguistic and predicative competence. According to CICT, complete duality of opposition and implication geometry in logical geometry and language can model n-dimensional predicative competence and beyond, according to available computational resources.