Solving Real Problems – Computerization and IT Technologies

Dear Colleagues,

Computerization is entering into all areas of research. Effective solutions to real problems are possible thanks to the creation and development of new IT technologies enabling modeling and optimization of nonlinear and dynamic processes representing practically all areas of life. These new technologies are based on neural networks, fuzzy sets, and genetic algorithms, which are key artificial intelligence solutions. It seems that the basic problems of everyday life concern primarily health, finances, and the environment. Within each of these areas, these mentioned methods of artificial intelligence can be successfully used to solve the specific problems. Such detailed issues include, for example, in the field of medicine—diagnosis and determination of therapies for cancer and neurological diseases; in the field of finances—support of audit of financial statements of enterprises; in the field of environmental protection—management of water supply companies in order to reduce water losses, improve the quality of drinking water, or reduce pollution in treated wastewater. There are only a few examples from the three research areas where the number of problems that can be successfully solved using artificial intelligence methods in these three areas alone can be much greater, for example, as follows: support for therapy and diagnosis in the case of mental illnesses or forecasting and reduction of atmospheric pollutants. The problems that hinder the solution of these issues are not the IT tools that enable their solution, but finances in addition to social and individual resistance to their application. The latter problem, in particular, is difficult to overcome as it usually results from a lack of knowledge and psychological resistance on the part of decision-makers in changing from the comfort of maintaining the status quo. And, while financial issues and issues related to lack of knowledge can be solved relatively effectively, the issues related to the psychology of individuals are extremely difficult to overcome and very time-consuming, as can be seen even nowadays in the case of environmental pollution with plastic packaging and in the case of actions taken to prevent global warming.

Dr. Jan Studziński
Guest Editor

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• machine learning
• deep learning
• fuzzy set logic
• genetic algorithms for optimization
• human–computer interface
• affective computing
• environmental informatics
• computer-aided disease diagnosis
• computer-aided accounting