Computational Intelligence for Human-like Intelligence (CIHLI)

In many research domains the existing state-of-the-art Computational Intelligence / Artificial Intelligence 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 and technological activities related to all facets of human-like intelligence, both in theory and practice. The organizers encourage submission of the papers describing application of various CI paradigms including deep and shallow neural network learning models, heuristic and evolutionary computing, fuzzy logic, rule based systems, machine learning and statistical methods towards accomplishing human-like intelligent behavior and problem solving.

Scope

The CIHLI organizers invite submissions of original previously unpublished innovative research in any topic related to practical and theoretical aspects of human-like intelligent behavior including, but not limited to:

• Models and architectures, including cognitively-plausible architectures and systems for human-like intelligence and humanized computing in theory and practical applications
• Problem solving based on nature, heuristic, intuition, creativity, insight, curiosity and imagination
• Theory and application of deep learning, reinforcement learning, autonomous learning, transfer learning and active learning
• Theory and application of evolutionary, heuristics and bio inspired algorithms, neural networks, fuzzy logic, rule based systems and their hybrid constructions
• Theoretical and practical aspects of future generation computing models and paradigms
• Ambient intelligence and human-like intelligence in image processing, pattern recognition, expert systems, engineering problems, data mining and optimization for industry, finance, transport, logistics, economy, manufacturing, security, games, IoT, VR, healthcare, science, and other domains

Author submission information

During submission of your paper follow author instruction on Submission | IEEE SSCI 2023 website. Please specify in the system that your paper is intended for Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

December 5-8, 2023, Mexico City, Mexico

December 4-7, 2022, Singapore

December 5-8, 2021, Orlando, USA

December 1-4, 2020, Canberra, Australia

December 6-9, 2019, Xiamen, China

November 18-21, 2018, Bengaluru, India

November 27 - December 1, 2017, Honolulu, USA

December 6-9, 2016, Athens, Greece

December 8-10, 2015, Cape Town, South Africa

December 9-12, 2014, Orlando, Florida, USA

April 16-19, 2013, Singapore

Jacek Mańdziuk

Ph.D., D.Sc., is Full Professor at the Faculty of Mathematics and Information Science, Warsaw University of Technology (Warsaw / Poland), Head of Division of Artificial Intelligence and Computational Methods and Head of Doctoral Programme in Computer Science.

He is the author of 3 books and 150+ research papers, was General Co-Chair of the 2021 Congress on Evolutionary Computation (Krakow, Poland) and organizer and Chair of the annual IEEE SSCI Symposium on Computational Intelligence for Human-like Intelligence 2013-2021. He serves/served as Associate Editor of the IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS and the IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, and is founding chair of the IEEE ETTC Task Force on Towards Human-like Intelligence. His research interests include application of CI and AI methods to games, dynamic and bi-level optimization problems, human-machine co-learning and cooperation in problem solving. He is also interested in development of general-purpose human-like learning and problem-solving methods which involve intuition, creativity and multitasking.

For more information please visit http://www.mini.pw.edu.pl/~mandziuk

Włodzisław Duch

Marcin Woźniak

Full Prof., D.Sc., Ph.D., Eng. is with the Faculty of Applied Mathematics, Silesian University of Technology, Poland.

Marcin Woźniak received the M.Sc. degree in applied mathematics, the Ph.D. degree in computational intelligence, the D.Sc. degree in computational intelligence and Full Professor honours from the President of Poland. M. Wozniak is currently a Full Professor with the Faculty of Applied Mathematics, Silesian University of Technology.

He is a Scientific Supervisor in editions of "The Diamond Grant" and "The Best of the Best" programs for highly talented students from the Polish Ministry of Science and Higher Education. He participated in various scientific projects (as Lead Investigator, Scientific Investigator, Manager, Participant and Advisor) at Polish, Italian and Lithuanian universities and projects with applied results at IT industry both funded from the National Centre for Research and Development and abroad. He was a Visiting Researcher with universities in Italy, Sweden, and Germany.

He has authored/coauthored over 200 research papers in international conferences and journals. His current research interests include neural networks and fuzzy logic control systems with their applications together with various aspects of applied computational intelligence accelerated by evolutionary computation and federated learning models.

In 2017 he was awarded by the Polish Ministry of Science and Higher Education with a scholarship for an outstanding young scientist and in 2021 he received award from the Polish Ministry of Science and Higher Education for research achievements. From 2020 to 2023, each year Prof. M. Woźniak was presented among "TOP 2% Scientists in the World" by Stanford University for his career achievements.

Prof. Woźniak was the Editorial Board member or an Editor for Sensors, Machine Learning with Applications, Pattern Analysis and Applications, IEEE ACCESS, Measurement, Sustainable Energy Technologies and Assessments, Frontiers in Human Neuroscience, PeerJ CS, International Journal of Distributed Sensor Networks, Computational Intelligence and Neuroscience, Journal of Universal Computer Science, etc., and a Session Chair at various international conferences and symposiums, including IEEE Symposium Series on Computational Intelligence, IEEE Congress on Evolutionary Computation, etc.

For more information please visit: https://orcid.org/0000-0002-9073-5347