Prof. Janusz Kacprzyk

Warsaw University of Technology, Poland

AI-assisted decision making and AI-enabled decision support for complex problem solving

Abstract. Tools and techniques of artificial intelligence (AI), notably various kinds of machine learning, and argumentation and explanation theories, can be of much use and help in this context and are advocated as an effective and efficient solution. This leads to the so-called AI-enabled models and thir related AI-assisted decision making models. As a partucularly effective and efficient example of such an AI-enabled nodel, which can in addition be very friendly to even novice users, the decision support systems (DSSs) are proposed. We show how they can not only help solve diffcult and complex problems but also how can help attain the comprehensibility and trsutworthiness of the results obtained which is crucial too. We also explain for which problems these new autonomous AI-enabled decision support systems can be used, and illustrate our analyses on some economic planning examples.

Plenary Speakers

Prof. Roman A. Polyak
George Mason University, USA
Prof. Srinivas Chakravarthy
Kettering University, Flint, USA
Prof. Arkadii Chikrii
V. M. Glushkov Institute of Cybernetics, Kyiv, Ukraine
Prof. Boris S. Mordukhovich
Wayne State University, Detroit, USA
Prof. Janusz Kacprzyk
Warsaw University of Technology, Poland
Prof. Yedilkhan Amirgaliyev
Institute of Information and Computing Technologies, Almaty, Kazakhstan
Prof. Adil Bagirov
Centre for Smart Analytics, Institute of Innovation, Science and Sustainability, Federation University Australia, Australia
Prof. Rza Bashirov
Eastern Mediterranean University, Turkey
Prof. Refail Kasimbeyli
Eskişehir Technical University, Türkiye
Prof. Agasi Melikov
Institute of Control Systems, Ministry of Science and Education, Azerbaijan
Prof. Mais Farkhadov
Institute of Control Sciences of RAS, Russia