In many research domains the existing state-of-the-art Computational Intelligence / Artificial Intelligence solutions significantly differ from the human competence level. Even though it is generally not clear whether human-like approach would show its upper-hand over existing methods, the exploration of this research path seems to be advantageous and challenging.
The main goal of this symposium is to promote and advance research and technological activities related to all facets of human-like intelligence, both in theory and practice. The organizers encourage submission of the papers describing application of various CI paradigms including deep and shallow neural network learning models, heuristic and evolutionary computing, fuzzy logic, rule based systems, machine learning and statistical methods towards accomplishing human-like intelligent behavior and problem solving. related to all facets of human-like intelligence, both in theory and practice. The organizers encourage submission of the papers describing application of various CI paradigms including deep and shallow neural network learning models, heuristic and evolutionary computing, fuzzy logic, rule based systems, machine learning and statistical methods towards accomplishing human-like intelligent behavior and problem solving.