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How Reinforcement Learning Enhances Classical Technical Analysis in the Forex Market?
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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
GDN 2026 hosted by UEKat in Katowice
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.jpg "GDN 2026 conference poster")
From June 28 to July 1, 2026, the University of Economics in Katowice (UEKat) hosted the 26th International Scientific Conference "Group Decision and Negotiation" (GDN 2026). This recurring academic conference is co-organized by the INFORMS GDN Section alongside local universities and research institutions worldwide. Scientific leadership for GDN 2026 was provided by Prof. Tomasz Wachowicz (UEKat) and Prof. Danielle Morais (Federal University of Pernambuco in Recife, Brazil), while the program committee was chaired by Prof. Marek Szopa (UEKat) and Prof. Ginger Ke (Memorial University of Newfoundland, Canada).
The conference brought together 98 participants from 20 countries, featuring a total of 70 presentations. Three keynote lectures were delivered, including one by the winner of the 2026 INFORMS GDN Section Award, Prof. Roman Słowiński (Poznań University of Technology). The conference was accompanied by side events such as a doctoral consortium, a special session dedicated to the memory of Prof. Melvin Shakun, a conference tour to the Guido Mine, and a Gala Dinner featuring the presentation of awards granted by GDN INFORMS.
New implementation of the BS-TOPSIS approach
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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
About a new way of organizing the learining process in RRL
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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
New book on negotiation support
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Springer announced the release of a publication by Professor Tomasz Wachowicz entitled "Holistic Multi-Criteria Decision Aid for Negotiation" in January 2026.
The book summarizes Professor Wachowicz's scientific achievements in the field of negotiation support, focusing on a group of tools based on holistic multi-criteria decision aid. It presents the fundamentals of negotiation analysis, the use of holistic methods within it, and introduces the eNego negotiation support system, which utilizes decision support tools based on the holistic approach.
More information about the book will be available soon on the publisher's website: https://link.springer.com/book/9783032106568