3rd International Workshop on New Approaches for


Multidimensional Signal Processing


NAMSP 2022

Technical University of Sofia, Sofia, Bulgaria

July 07-09, 2022

Plenary Speakers


Prof. Barna Iantovics, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures (UMFST), Targu Mures, Romania


Title of Lecture:

Measuring the machine intelligence using black-box-based universal intelligence metrics


Abstract: Most of the intelligent systems are agent-based systems that could be intelligent agents that operate individually or cooperative multiagent systems. The number and diversity of intelligent systems applied for real-life problems solving in all the fields is increasing very fast. In this context measuring the machine/systems intelligence becomes of utmost importance. Machine intelligence metrics presented in the scientific literature rely on different philosophies, hindering their effective comparison. There is no standardization on what machine intelligence is and what should be measured to quantify it. This study investigates the measurement of the artificial complex systems intelligence from the viewpoint of real-life difficult problem-solving abilities and highlights the importance of being able to make accurate and robust comparisons in intelligence between multiple intelligent complex systems. The most important property of an intelligence metric must be the universality based on the very large diversity of intelligent complex systems. In this sense an important approach consists in the black-box-based intelligence metrics that should be able to treat aspects like the variability in intelligence, and extreme intelligence (rarely very low and high intelligence manifestations in different situations). Universal black-box-based machine intelligence metrics are a useful tool for intelligent systems developers in measuring the intelligence of their systems and comparing them with the intelligence of other systems no matter the diversity of their architecture.


Biographical Notes: L.B. Iantovics received BSc and MSc in Mathematics and Informatics from “Transilvania” University of Brasov; a PhD in Artificial Intelligence (AI) from “Babes-Bolyai” University of Cluj-Napoca and finished a Postdoctoral study in AI at “Alexandru Ioan Cuza” University of Iasi. In 2020 he obtained the habilitation degree at the George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures (UMFST). Dr. Iantovics is Full Professor and Director of the Research Center on Artificial Intelligence, Data Science and Smart Engineering (Artemis) within UMFST from 2021. His principal research interests include intelligent systems, measuring machine intelligence, computational intelligence, biostatistics and data science, topics on which he has published dozens of papers, book chapters and has contributed to research projects as project director or researcher. Contributions to international research projects coordination include: Hybrid Medical Complex Systems (ComplexMediSys); Electronic Health Records for the Next Generation Medical Decision Support in Romanian and Bulgarian National Healthcare Systems (NextGenElectroMedSupport) and Social Network of Machines (SOON). Dr. Iantovics has acted as committee member at numerous prestigious conferences, reviewed papers at many prestigious journals, being a member in the editorial board of numerous journals, has organized conferences as General Chair and Principal Scientific Organizer like BICS, CANS, UICS, etc. He has edited valuable books and journal special issues such as “Advanced Intelligent Computational Technologies and Decision Support Systems''; “Advances in Intelligent Analysis of Medical Data and Decision Support Systems”, published in Computational Intelligence series; “Advanced Computational Technologies” published by the Romanian Academy Publishing House, and others.