Call for papers

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.

CIHLI Topics

Topics of interest include but are not limited to:

Keynote Talk

Special Sessions and Tutorials

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

  1. Special Session on: Physiological and Affective Computing for Human Centred Systems,
    Faiyaz Doctor, Coventry University, United Kingdom
    Dongrui Wu, DataNova, NY, USA
    Marie-Jeanne Lesot, Université Pierre et Marie Curie, Paris, France
    Christian Wagner (TBC), University of Nottingham, United Kingdom
    Rahat Iqbal, Coventry University, United Kingdom

    Symposium Chairs

    Jacek Mańdziuk
    Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland
    e-mail: mandziuk at mini.pw.edu.pl
    http://www.mini.pw.edu.pl/~mandziuk

    Włodzisław Duch
    Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Poland
    e-mail: wduch at is.umk.pl
    http://www.is.umk.pl/~duch

    Janusz A. Starzyk
    School of Electrical Engineering and Computer Science, Ohio University, USA
    e-mail: starzykj at gmail.com
    http://www.ohio.edu/people/starzykj/

Last modified: April 25 2017 21:11:55+02:00.
©Michał Okulewicz