Selected methods of machine learning and pattern recognition are elaborated and applied to various nontrivial problems of econophysics. Usefulness of presented artificial intelligence based techniques in the context of economy-inspired problems is proven. Some comparisons with other approaches to the investigated issues are performed.

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2. Measuring and explaining income inequalities in Poland: an estimation of Lorenz curves using hazard function approach
3. Numerical analysis of a mathematical model of a tumor growth and possible economic analogies
4. Visualizing income determinants of Polish households
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6. Numerical analysis of modified Kaldor-Kalecki models with couplings and delays
7. Applications of artificial intelligence methods to econophysics problems
8. Mining correlations on the GPW.
9. Personal incomes vs households incomes in Poland
10. Models of rating dynamics
11. Time-dependent statistical analysis of the Polish stock market index WIG20
12. Prices and Volumes on the Stock Market
13. Methods for community detection in social networks
14. Dynamics of some Polish internet-based networks
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22. Gain-loss asymmetry for emerging stock markets.
23. Analysis of fluctuations in financial time series