CIHLI 2017 - 2017 IEEE Symposium on Computational Intelligence for Human-like Intelligence(IEEE CIHLI' 17)

Symposium organizers welcome papers related to accomplishing human-like intelligence by artificial systems. 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 symposium is to promote and advance research activities related to all facets of human-like intelligence. The organizers encourage submission of the papers describing application of various Computational Intelligence paradigms including neural networks, genetic/memetic computing, fuzzy logic, machine learning, and statistical methods to human-like intelligent behavior and problem solving.
Topics
Topics of interest include but are not limited to:
Models and architectures for human-like intelligence
Cognitively-plausible architectures and systems
Biologically-inspired cognitive models
Problem solving based on intuition, creativity, insight, curiosity and imagination
Chunk-based representations and the use of geometrical properties in problem solving
Hierarchical knowledge representation
Emergent intuitive behavior and creativity in complex systems
The guiding role of emotions and motivation in discovery
Machine consciousness
Autonomous learning, active learning
Lifelong learning, transfer learning and multitask learning
Theory or application of structured learning and structured intelligent systems
Ambient intelligence
Recent developments in artificial art
Human-like intelligent systems in manufacturing, security, game playing, planning and scheduling