• Home
• Important Dates
• Guidance for Final Files Submission
• For Poster Presenters
• Program Overview
• Detailed Program
• Organizing Committee
• Paper Submission
• Special Sessions
• Tutorials
• Keynote Speakers
• Registration and Visa Information
• Travel Grants
• Venue
• Accommodation
• Travel Information
• Tours
  
• Local Information
• Contact Us
• IEEE
• History of SSCI

Sponsored By

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 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

Please forward your special session or tutorial proposal to Jacek Mańdziuk (mandziuk@mini.pw.edu.pl).

• Physiological and Affective Computing for Human Centred Systems

• Organizers:
  Faiyaz Doctor, Coventry University, UK
  Dongrui Wu, DataNova, NY, USA
  Marie-Jeanne Lesot, Université Pierre et Marie Curie, France
  Christian Wagner, University of Nottingham, UK
  Rahat Iqbal, Coventry University, UK
• More Information

• 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
• 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
• Marcin Wozniak  - Silesian University of Technology, Poland
• Jacek M. Zurada – University of Louisville, KY, USA