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

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

Special Sessions and Tutorials

Please forward your special session or tutorial proposal to Jacek Mańdziuk ([email protected]).