ICAISC 2025

The 24th International Conference on Artificial Intelligence and Soft Computing

June 22-26, 2025

Contact - ICAISC 2025 Organizing Committee

General Chairman
Leszek Rutkowski Leszek Rutkowski email: leszek.rutkowski.a_t.ibspan.waw.pl
Co-Chair
Rafał Scherer Rafał Scherer email: rafal.scherer.a_t.pcz.pl
Technical Chair
Marcin Korytkowski Marcin Korytkowski email: marcin.korytkowski.a_t.pcz.pl
Finance Chair
Marcin Gabryel Marcin Gabryel email: marcin.gabryel.a_t.pcz.pl

Organizing Committee Office

Institute of Computational Intelligence Częstochowa University of Technology
al. Armii Krajowej 36 42-200 Częstochowa, Poland
Tel: +48 (34) 3250546 Fax: +48 (34) 3250546 E-mail: icaisc@pcz.pl ICAISC 2025 Web page: http://icaisc.eu

International Liaison

Prof. Jacek M. Żurada Dept. of Electr. and Comp. Engineering
University of Louisville, Louisville, KY 40292, USA
Tel: (502) 852-6314 Fax: (502) 852-3940 E-mail: jacek.zurada@louisville.edu URL: http://ci.uofl.edu/zurada









Invited Talks

Guanpu Chen "Global Nash equilibrium in a class of non-convex multi-player games: Theory, algorithm and application "

Guanpu Chen
Guanpu Chen "Global Nash equilibrium in a class of non-convex multi-player games: Theory, algorithm and application " KTH Royal Institute of Technology, Stockholm, Sweden

Guanpu Chen received the B.Sc. degree from the University of Science and Technology of China, China, in 2017, and the Ph.D. from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China, in 2022. He is currently a Postdoctoral Researcher with the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. His research interests include network games, distributed optimization, and cybersecurity. Dr. Chen was the recipient of the President Award of the Chinese Academy of Sciences in 2021 and Best Paper Award at the IEEE ICCA 2024.

Abstract

Many machine learning problems can be formulated as non-convex multi-player games. Due to non-convexity, it is challenging to obtain the existence condition of the global Nash equilibrium (NE) and design theoretically guaranteed algorithms. We study a class of non-convex multi-player games, where players' payoff functions consist of canonical functions and quadratic operators. We leverage conjugate properties to transform the complementary problem into a variational inequality (VI) problem using a continuous pseudo-gradient mapping. We prove the existence condition of the global NE as the solution to the VI problem satisfies a duality relation. We then design an ordinary differential equation to approach the global NE with an exponential convergence rate. For practical implementation, we derive a discretized algorithm and apply it to two scenarios: multi-player games with generalized monotonicity and multi-player potential games. Experiments on robust neural network training and sensor network localization validate our theory.

Dacheng Tao "On Championing Foundation Models"

Dacheng Tao
Dacheng Tao "On Championing Foundation Models" College of Computing and Data Science at Singapore Nanyang Technological University

Dacheng Tao is currently a Distinguished University Professor in the College of Computing and Data Science at Singapore Nanyang Technological University. He mainly applies statistics and mathematics to artificial intelligence, and his research is detailed in one monograph and over 500 publications in prestigious journals and proceedings at leading conferences, with best paper awards, best student paper awards, and test-of-time awards. His publications have been cited over 130K times and he has an h-index 176+ in Google Scholar. He received the 2015 and 2020 Australian Eureka Prize, the 2018 IEEE ICDM Research Contributions Award, 2020 research super star by The Australian, the 2019 Diploma of The Polish Neural Network Society, and the 2021 IEEE Computer Society McCluskey Technical Achievement Award. He is a Fellow of the Australian Academy of Science, the Royal Society of NSW, the World Academy of Sciences, AAAS, ACM and IEEE.

Abstract

After 80 years of development, neural networks have once again proven their value in the era of foundation models. Since the success of ChatGPT, the evolution of foundation models has been rapid, to the extent that it can almost be seen as a social movement. Developing these models requires immense human, material, and financial resources, and in a way, it represents a contest between humanity and nature. With the emergence of supermodels like GPT-4V, we find ourselves once again at a crossroads in the development of neural networks. As the scale of models continues to expand, we have witnessed many astonishing breakthroughs, even sparking discussions of the dawn of AGI (Artificial General Intelligence). However, we've also encountered significant challenges, especially in areas of trustworthiness and safety, which seem to be shrouded in uncertainty. Thus, today we must deeply reflect on both the principles and techniques of large models, and seek renewal from the pressures of competition.

Committee on Informatics of the Polish Academy of Sciences

Program Committee

General chairman

Leszek Rutkowski Leszek Rutkowski

Co-Chair
Rafał Scherer Rafał Scherer
Technical Chair
Marcin Korytkowski Marcin Korytkowski


Area Chairs

Fuzzy Systems
Witold Pedrycz Witold Pedrycz
Evolutionary Algorithms
Zbigniew Michalewicz Zbigniew Michalewicz
Neural Networks
Jinde Cao Jinde Cao

Computer Vision
Dacheng Tao Dacheng Tao
Machine Learning
Nikhil R. Pal Nikhil R. Pal
Artificial Intelligence with Applications
Janusz Kacprzyk Janusz Kacprzyk

NEUROINFORMATICS
Włodzisław Duch Włodzisław Duch
MULTIAGENT SYSTEMS
TINGWEN HUANG TINGWEN HUANG

International Liaison

Jacek M. Żurada Jacek M. Żurada

Finance Chair

Marcin Gabryel Marcin Gabryel


International Program Committee

  • Hojjat Adeli, The Ohio State University, USA
  • Cesare Alippi, Polytechnic University of Milan, Italy
  • Rafal A. Angryk, Georgia State University, USA
  • Robert Babuska, Delft University of Technology, Netherlands
  • James C. Bezdek, University of Melbourne, Australia
  • Bernadette Bouchon-Meunier, University Paris 6 (LIP6), France
  • Jinde Cao, Southeast University, China
  • Juan Luis Castro, University of Granada, Spain
  • Yen-Wei Chen, Ritsumeikan University, Japan
  • Andrzej Cichocki, Systems Research Institute, Polish Academy of Sciences, Poland
  • Krzysztof Cios, Virginia Commonwealth University, USA
  • Ian Cloete, Stellenbosch University Home, South Africa
  • Oscar Cordón, University of Granada, Spain
  • Bernard De Baets, Ghent University, Belgium
  • Aleksander Byrski , AGH University of Science and Technology, Poland
  • Włodzisław Duch, Nicolaus Copernicus University, Poland
  • Meng Joo Er, Dalian Maritime University, China
  • Pablo Estevez, University of Chile, Chile
  • Tom Gedeon, Curtin University, Australia
  • Erol Gelenbe, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Poland
  • Hani Hagras, University of Essex, UK
  • Saman Halgamuge, University of Melbourne, Australia
  • Yoichi Hayashi, Meiji University, Japan
  • Tim Hendtlass, Swinburne University of Technology, Australia
  • Francisco Herrera, Granada University, Spain
  • Kaoru Hirota, Tokyo Institute of Technology, Japan
  • Hisao Ishibuchi, Southern University of Science and Technology, China
  • Ivan Izonin, Lviv Polytechnic National University, Ukraine
  • Mo Jamshidi, University of Texas, USA
  • Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Poland
  • Nikola Kasabov, Auckland University of Technology, New Zealand
  • Okyay Kaynak, Bogazici University, Turkey
  • James M. Keller, University of Missouri, USA
  • Etienne Kerre, Ghent University, Belgium
  • Frank Klawonn, Ostfalia University of Applied Sciences, Germany
  • Robert Kozma, University of Memphis, USA
  • László Kóczy, Budapest University of Technology and Economics, Hungary
  • Józef Korbicz, University of Zielona Góra, Poland
  • Rudolf Kruse, University of Magdeburg, German
  • Adam Krzyzak, Concordia University in Montreal, Canada
  • Věra Kůrková, Czech Academy of Sciences, Czech Republic
  • Ivan Laktionov, Dnipro University of Technology, Ukraine
  • Soo-Young Lee, Korea Advanced Institute of Science and Technology, Korea
  • Simon M. Lucas, Queen Mary University of London, UK
  • Luis Magdalena, Technical University of Madrid, Spain
  • Jerry M. Mendel, University of Southern California, USA
  • Radko Mesiar, Slovak University of Technology in Bratislava, Slovakia
  • Zbigniew Michalewicz, Complexica, Australia
  • Kazumi Nakamatsu, University of Hyogo, Japan
  • Detlef D. Nauck,British Telecom, UK
  • Ngoc Thanh Nguyen, Wroclaw University of Science and Technology, Poland
  • Erkki Oja, Aalto University, Finland
  • Nikhil R. Pal, Indian Statistical Institute, India
  • Witold Pedrycz, University of Alberta, Canada
  • Leonid Perlovsky, Northeastern University, USA
  • Marios M. Polycarpou, University of Cyprus, Cyprus
  • Danil Prokhorov, Toyota Tech Center, USA
  • Vincenzo Piuri, University of Milan, Italy
  • Sarunas Raudys, Vilnius University, Lithuania
  • Marek Reformat, University of Alberta, Canada
  • Imre J. Rudas, Obuda University, Hungary
  • Norihide Sano, Shizuoka Sangyo University, Japan
  • Rudy Setiono, National University of Singapore, Singapore
  • Jennie Si, Arizona State University, USA
  • Peter Sincak, Technical University of Kosice, Slovakia
  • Andrzej Skowron, Systems Research Institute, Polish Academy of Sciences, Poland
  • Roman Słowiński, Poznan University of Technology, Poland
  • Pilar Sobrevilla, Barcelona Tech, Spain
  • Janusz Starzyk, Ohio University, USA
  • Jerzy Stefanowski, Poznań University of Technology, Poland
  • Vitomir Štruc, University of Ljubljana, Slovenia
  • Ron Sun, Rensselaer Polytechnic Institute, USA
  • Johan Suykens, KU Leuven, Belgium
  • Ryszard Tadeusiewicz, Poland
  • Hideyuki Takagi, Kyushu University, Japan
  • Dacheng Tao, University of Sydney, Australia
  • Vicenç Torra, Umeå University, Sweden
  • Burhan Turksen, University of Toronto, Canada
  • Shiro Usui, RIKEN Brain Science Institute, Japan
  • Roman Vorobel, National Academy of Sciences of Ukraine, Ukraine
  • Deliang Wang, Ohio State University, USA
  • Jun Wang, City University of Hong Kong, Hong Kong
  • Lipo Wang, Nanyang Technological University, Singapore
  • Bernard Widrow, Stanford University, USA
  • Kay C. Wiese, Simon Fraser University Canada
  • Bogdan M. Wilamowski, Auburn University, USA
  • Donald C. Wunsch, Missouri University of Science and Technology, USA
  • Ronald R. Yager, Iona College, USA
  • Xin-She Yang, Middlesex University London, United Kingdom
  • Gary Yen, Oklahoma State University, USA
  • Sławomir Zadrożny, Systems Research Institute, Polish Academy of Sciences, Poland
  • Jacek Zurada, University of Louisville, USA