Department of Informatics

Faculty of Physics, Astronomy and Informatics and
NeuroCognitive Laboratory, Centre for Modern Interdisciplinary Technologies, | Nicolaus Copernicus University.

Scientific achivements, April 2019

Wlodzislaw Duch: A list of talks and links to some presentations | conferences, past and planned
Some DuchLab projects | chronological list of papers.
Google Profile | arxiv page | ORCID ID |

Scientific activities: Włodzisław Duch Department of Informatics, Nicolaus Copernicus University (NCU).

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Neural networks.

  1. Novel neural network models
  2. Feature Space Mapping
  3. Floating Gaussian Mapping.
  4. Novel neural transfer functions.
  5. Applications of neural networks

Neural networks for data understanding.

Main papers comparing neural methods to other rule-based methods. Results have been presented in many tutorials at top conferences -- IJCNN (2001, 2000), WCCI (2002), ICONIP (2000), ICANN (2002, 2001), NNSC (2000), and in book chapters and conference papers.

  1. Data understanding
  2. MLP2LN algorithm
  3. Prototype-based logical rules.
  4. Understanding neural network functions through visualization.


Operating in the space of all available data transformations and optimization techniques meta-learning algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems, searching for most interesting compositions of transformations and optimizations, uncovering various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn.This idea was introduced first in the framework of similarity-based methods in 2001.

General meta-learning

Similarity-based methods.

  1. Framework for similarity based methods
  2. Variants of similarity based methods

Computational intelligence algorithms.

  1. General CI/ML
  2. Feature selection
  3. Decision trees and separability criterion
  4. Heterogenous systems
  5. Other machine learning algorithms

Text Processing.

  1. Natural Language Processing
  2. Neurocognitive NLP
  3. Information Retrieval

Visualization methods.

Fuzzy version of symbolic dynamics helps to understanding dynamical systems (in particular neurodynamics) by showing trajectories. |

  1. Visualization of dynamics
  2. Visualization of static data

Cognitive systems/technologies.

Searching for models that serve as bridges between mind and brain. In the "mind space" model mental events are represented using neurofuzzy approach for probability density modelling. Activation of sequences of areas in the mind space represented object recognition, action and mental trajectory, providing links between neurodynamics and visualization of mental events. |

  1. Cognitive architectures and models
  2. Mind-brain relations
  3. Computational Creativity
  4. Cognitive training systems
  5. Medical applications

Brain functions.

  1. Consciousness
  2. Neurodynamics.
  3. Imagery.
  4. Cognitive science.
  5. Brain signals.
  6. Other brain functions.

Neuroinformatics, neuropsychiatry and mental models.

  1. Neuroinformatics
  2. Autism Spectrum Disorders
  3. Brain stem models
  4. Other Brain Disorders

Artificial Intelligence.

In 1992 first preprints on noisy data trees have been published by W. Duch, and a year later two important ideas were presented in preprints. First, "Syntactic and semantic information in finite systems", containing the idea of pragmatic information measure that can be used to evaluate the value of new data for cognitive systems, including knowledge based systems.

  1. Artificial Intelligence algorithms

Psychology and philosophy.

  1. Psychology
  2. Philosophy

Computational physics/chemistry.

  1. Development of direct configuration interaction method for calculation of molecular properties including electron correlation (Duch, PhD 1980). Several papers on configuration interaction method followed.

    Computational physics/chemistry

  2. Development of the symmetric and unitary group theory in application to computational problems of quantum mechanics, and implementation of a large software system called SGGA-CI based on graphs for calculation of molecular properties, used by several groups around the world (Duch, Karwowski, Diercksen).
    Symmetric group graphical approach

  3. Book on graphical approach and group theory ideas for general variational calculations: "Graphical representation of model spaces" (Springer Verlag, 1986). This approach was the basis of 4 PhDs done at the Max Planck Institute of Astrophysics in Munich, Germany. Results were presented at various conferences in Europe, and as a long tutorial presented at the "Workshop on Algebraic Methods in Molecular Physics" in Jerusalem (1988) and at the 3-day, 24 hour marathon lectures in applications of symmetric group theory and graphical techniques at the Tokyo University in 1994.

  4. Development of superdirect configuration interaction and multireference superdirect configuration interaction in third order, based on equations derived using computer algebra system "Maple" (Duch, Meller, 1989-1994).
    Superdirect CI
  5. Applications of computational quantum mechanics to calculation of complex molecular properties. First calculations of the absorption and magnetic circular dichroism spectrum of a Jahn-Teller distorted excited state of cyclopropane (Duch, Segal, 1983) and other applications.
    Calculation of complex properies

Foundation of physics, quantum informatics.

Papers on quantum entanglement, written before this field has developed into quantum informatics (Duch, 1988-2003).

Foundation of physics

Our Books

Books - Conferences Proceedings

Papers submitted and in print

Conference posters and abstracts

Popular articles on artificial intelligence and cognitive science (most in Polish).

  1. Sztuczna inteligencja
  2. Nauki kognitywne i edukacja
  3. Science policy/Polityka naukowa
  4. Interviews and media (Wywiady i media)

Patents and inventions