A Neuroevolution approach towards human-like intelligence for complex-problems solving.

We live in an exciting time when speculations and theories in cognitive science, neuroscience, and artificial intelligence influence each other toward understanding the mechanisms of the human brain. In this study, we propose to develop a framework for complex problem-solving by enhancing the field of artificial intelligence with human-like intelligence, which merges the fields of psychology and neuroscience with computer science. The intended modular framework would use distributed consensuses of non-deterministic world models, mimicking psychological theories of human-exhibited intelligence, and theorized brain mechanisms such as continuous learning over unforeseen data.