2016 IEEE Symposium on Computational Intelligence for Human-like Intelligence

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