Various methods of artificial intelligence, such as data mining techniques, swarm optimization, machine learning and pattern recognition algorithms, are elaborated in the context of applications to different econophysics problems.

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2. Measuring and explaining income inequalities in Poland: an estimation of Lorenz curves using hazard function approach
3. Methods of machine learning and pattern recognition with applications to econophysics
4. Numerical analysis of a mathematical model of a tumor growth and possible economic analogies
5. Visualizing income determinants of Polish households
6. The quantile decomposition of income distributions of males and females in the USA
7. Numerical analysis of modified Kaldor-Kalecki models with couplings and delays
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
15. Stock Indices for emerging markets.
16. Patterns of food consumption in European countries
17. Some applications of rank clocks method
18. New results on gain-loss asymmetry for stock markets time series
19. Selekcja i klasyfikacja spółek notowanych na Warszawskiej Giełdzie Papierów Wartościowych przy pomocy pakietu SAS
20. Klasyfikacja rozkładów dochodów gospodarstw domowych
21. Zastosowanie sztucznych sieci neuronowych do oceny ryzyka kredytowego klienta w telefonii komórkowej
22. Classification of Polish provinces according to their competitiveness using the cluster and neuron network methods.
23. Gain-loss asymmetry for emerging stock markets.
24. Analysis of fluctuations in financial time series