• IEEE Computational Intelligence Society Task Force:
    Towards Human-like Intelligence

    to promote research, development and usage of computational intelligence-based methodologies for developing more human-like intelligent systems

Statement and goals

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 task force is to promote research activities related to all facets of human-like intelligence. Since the scope of TF comes across several CI/AI fields the TF should facilitate interdisciplinary collaboration of researchers gathered around particular issues.

This interdisciplinary TF combines the ideas from various Computational Intelligence domains including neural networks, genetic/memetic computing, fuzzy logic, reinforcement learning as well as "traditional" Artificial Intelligence techniques related to knowledge representation and acquisition, heuristic search methods and cognitive architecture

Research Areas

  • problem solving based on intuition and insight
  • problem solving based on creativity, curiosity and imagination
  • lifelong learning, transfer learning, meta-learning
  • multitasking and learning from partial observations
  • brain-inspired cognitive architectures
  • artificial brains and cognitive robotics
  • cognitive neurodynamics and machine consciousness
  • autonomous behavior, motivation, knowledge discovery, and
  • guiding role of emotions in discovery
  • neuro-symbolic approaches to problem solving
  • combining AI and CI techniques for problem solving
  • neurocognitive informatics, brain-inspired approaches to language


Human-like Intelligence (IEEE CIHLI)

Symposium: IEEE CIHLI


4-7th December, 2022, Singapore


  • learning: lifelong, transfer, meta-, from partial observations
  • knowledge organization, discovery, with abstraction and conceptualization
  • biologically-inspired cognitive architectures and systems
  • autonomous behavior
  • machine consciousness, emotion perception and processing
  • brain-inspired language processing/understanding
  • human-like symbolic and commonsense knowledge
  • autonomous reasoning

Important Dates

  • Paper Submission: Friday, July 1, 2022
  • Notification: Thursday, September 1, 2022
  • Final Paper Submission: Monday, September 19, 2022


  • Jacek Mańdziuk, Warsaw University of Technology, Poland
  • Włodzisław Duch, Nicolaus Copernicus University, Poland
  • Marcin Woźniak, Silesian University of Technology, Poland


About Us

We focus on the current research trends in the area of theoretical and practical aspects of systems suitable for mimicking human intelligence
by applying a variety of techniques and methods developed in the framework of such disciplines as neural networks
combined with evolutionary computing and fuzzy sets and systems.

Please, join us.

Contact Us


If you have any questions or would like to join the group, please do not hesitate to contact us.
Look for us at different conferences ...