Publications
The list of interesting books, papers, and chapters published both by the N.EA team members and other researchers.
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We are pleased to announce the publication of a new research article entitled “Self-augmenting technical indicator with recurrent reinforcement learning: evidence from Forex markets”, published in the journal Decision (Springer). The authors of the paper are researchers from the University of Economics in Katowice: Tomasz Witkowski, Prof. Tomasz Wachowicz, and Prof. Krzysztof Kania. The article addresses the efficiency of traditional technical analysis tools in the foreign exchange (Forex) market and explores how they can be augmented using artificial intelligence algorithms..
The article was published in open access and can be accessed by downloading the file directly from the publisher's website at: https://link.springer.com/article/10.1007/s40622-026-00479-x
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On July 2, 2026, a scientific article titled "Beyond Positive Response Rates: Capturing Information Richness in Workplace AI Acceptance Using Belief Structure TOPSIS" by Prof. Ewa Roszkowska and Tomasz Wachowicz was published in the journal Entropy. The paper presents the implementation of a previously developed tool—Belief Structure TOPSIS—to analyze survey data regarding the acceptance of AI tools in the labor market across European Union countries. Additionally, it proposes extending the stability analysis of the obtained results through automated simulation analysis and the verification of almost stochastic dominance.
The article is available directly at the following link: https://www.mdpi.com/1099-4300/28/7/759
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Another interesting article by the N.EA team has been published in the journal Operations Research and Decisions. In this article, we conduct a very detailed analysis of the impact of various behavioral characteristics of decision-makers on their use of different multiple criteria decision-aiding (MCDA) methods and their final opinion regarding recommendations and future use of these methods. The conducted empirical study utilized a proprietary online decision support and survey system, and the data from the system was analyzed using a complex structural model that accounts for both direct and indirect influences of exogenous variables on the final assessment of MCDA methods’ functionality.
The article is available directly via the following link: https://ord.pwr.edu.pl/Issues/2024/vol34/p3_15
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On April 1, 2026, the scientific article titled "Recurrence mimicking learning: Eliminating sequential rollouts in offline recurrent reinforcement learning" was published in the journal Neurocomputing (and this is no April Fools' joke), presenting an interesting proposal for enhancing the training processes of recurrent neural networks. Authored by Tomasz Witkowski, M.Sc., Prof. Krzysztof Kania, and Prof. Tomasz Wachowicz, the paper demonstrates how to significantly accelerate the development of decision-making tools used in dynamic decision-making problems.
The article is available directly at the following link: https://www.sciencedirect.com/science/article/pii/S0925231226002043
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From June 2-5, the 24th conference on Group Decision and Negotiation (GDN) took place in Porto, jointly with the ICDSST conference organized by EWG-DSS. Papers submitted to the GDN conference are typically published in two types of post-conference proceedings: local proceedings, published by the organizer (in 2024, the University of Porto), and Springer proceedings, published as part of the Lecture Notes in Business Information Processing (LNBIP) series. The co-editor of this year's GDN LNBIP volume (No. 509) was Professor Tomasz Wachowicz, and the entire editorial team included Marta Campos Fereira (University of Porto), Pascale Zarate (University of Toulouse), and Yu Maemura (University of Tokyo). Conference participants received free four-month electronic access to the volume. It is also available for purchase on the publisher's website: https://link.springer.com/book/10.1007/978-3-031-59373-4