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 (mandziuk@mini.pw.edu.pl).

Symposium Chairs

Program Committee

Hussein Abbass	University of New South Wales, Australia
Itamar Arel	University of Tennessee, USA
Peter Boltuc	University of Illinois at Springfield, USA
Vadim Bulitko	University of Alberta, Canada
Sung Bae Cho	Yonsei University, Korea
Er Meng Joo	Nanyang Technological University, Singapore
David B. Fogel	Natural Selection, Inc., USA
Stan Franklin	University of Memphis, USA
Ben Goertzel	Novamente LLC, USA
Min Jiang	Xiamen University, China
Janusz Kacprzyk	Polish Academy of Science, Poland
Kyung-Joong Kim	Sejong University, Korea
Luis C. Lamb	Federal University of Rio Grande do Sul, Brazil
Giuseppe Lo Re	University of Palermo, Italy
Yew Soon Ong	Nanyang Technological University, Singapore
Giovanni Pilato	Institute for High Performance Computing and Networking ICAR, Italy
Dawid Połap	Silesian University of Technology, Poland
Michał Ptaszyński	Hokkai-Gakuen University, Japan
Paweł Raif	Silesian University of Technology, Poland
Leszek Rutkowski	Częstochowa University of Technology, Poland
Juergen Schmidhuber	Univesity of Lugano, Switzerland
J. Ignacio Serano	Spanish National Research Council (CSIC), Spain
Rossi Setchi	Cardiff University, UK
Hava Siegelmann	University of Massachusetts, USA
Maciej Swiechowski	Polish Academy of Sciences, Poland
Ah-Hwee Tan	Nanyang Technological University, Singapore
Kay Chen Tan	National University of Singapore, Singapore
Ruck Thawonmas	Ritsumeikan University, Japan
Lipo Wang	Nanyang Technological University, Singapore
Pei Wang	Temple University, USA
Roseli Wedemann	State University of Rio de Janeiro, Brazil
Jacek M. Zurada	University of Louisville, KY, USA