Statement and goals

In many research domains the existing state-of-the-art AI/CI 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 task force is to promote research activities related to all facets of human-like intelligence. Since the scope of TF comes across several CI/AI fields the TF should facilitate interdisciplinary collaboration of researchers gathered around particular issues.

This interdisciplinary TF combines the ideas from various Computational Intelligence domains including neural networks, genetic/memetic computing, fuzzy logic, reinforcement learning as well as "traditional" Artificial Intelligence techniques related to knowledge representation and acquisition, heuristic search methods and cognitive architecture