Andrzej Bielecki

Ph.D. thesis (1998):	Gradient dynamical systems and learning process of neural networks (at Jagiellonian University)
Research interests:	dynamical systems, artificial neural networks and applications in psychology and economy.
Long term visits:	National Technical University, Athens (1993, 1994)
Position:	adiunkt

Selected publications:

1. Bielecki A., Topological Conjugacy of Cascades Generated by Gradient Flow on a Two-Dimensional Compact Manifold, Nonlinear Analysis - Theory, Methods and Applications, accepted.

2. Bielecki A., Agent's Adaptivity - Some Aspects of Theoretical Foundations of a Neural Agent Training Process, Lecture Notes in Artificial Intelligence, 2296, 47-53. (see Proceedings of the II International Workshop of Central and Eastern Europe "Multi-Agent Systems", Kraków, 2001, 33-40).

3. Bielecki A., Jabłoński D., Estimation of Numerical Dynamics Constants of a Weakly Nonlinear Neuron, Lecture Notes in Computer Science, 2328, 2002, 862-869.

4. Kokoszka A., Bielecki A., Holas P., Mental Organisation According to Metabolism of Information and its Description, International Journal of Neuroscience, 107, 2001, 173-184.

5. Bielecki A., Dynamical Properties of Learning Process of Weakly Nonlinear and Nonlinear Neurons, Nonlinear Analysis - Real World Applications, 2, 2001, 249-258.