Lecturer: Prof.em. Dr. Imre Horváth, Faculty of Industrial Design Engineering Delft University of Technology
Date: February, 5 2025 2 p.m.
Place: Faculty of Engineering, New building, Lecture hall U.0.0.2.
Theme: Understanding the essence and implications of the shifting system paradigm of cyber-physical systems
Short abstract of the interactive presentation session entitled:
To designate a family of hybrid-engineered systems that deeply penetrate real-life processes the umbrella term ‘cyber-physical systems’ (CPSs) has been used. This also depicts a paradigm of systems science that is going through an intense, multi-faceted metamorphosis, as evidenced by the literature. In addition to shedding light on the related systems science and systems engineering issues, this interactive presentation session also attempts to make an inventory of the technological developments and to identify the major drivers and trends of development. Taking examples from current real-life manifestations and applications, it analyses the intertwining threads of the evolution of the system paradigm of CPSs and attempts to explore and synthesize their consequences and sketch out a vision of nearfuture advancement.
In addition to his research and development work, concepts, and experiences, the speaker also uses recent publications to underpin his propositions. More specifically, he elaborates on (i) disciplinary complexification, (ii) functional intellectualization, (iii) canonical socialization, and (iv) adaptive personalization as the main threads of paradigmatic evolution. In addition to the essence of these threads, their relations and some scientific and professional implications are also discussed. He calls attention to the growing transdisciplinary nature of CPSs and casts light on some closely related research and educational issues, the background of which is the growing complexity, heterogeneity, and acceleration.
The main message is that next-generation CPSs should be envisaged as synthetic knowledge-based systems that self-generate or self-acquire problemsolving knowledge and ampliative application-specific reasoning mechanisms to increase their problem-solving and self-management abilities. These systems are initially intellectualized and launched based on human developed or -represented data, information, and knowledge, but they extend it significantly during their operation. This has effects on the design, application, and supervision of CPSs. Human-system co-working and co-controlling issues should remain the focus of research in next-generation CPSs, but they should be addressed in the newly emerging contexts. The doctrines of systems-in-the-loop and humans-in-the-loop will not only coexist but also trigger new interest in the aspects of selfadjustment, self-adaptation, self-evolution, and self-replication of next-generation CPSs.
V01/I.H./21.11.2024
Date: February, 6 2025 2 p.m.
Place: Faculty of Engineering, New building, Lecture hall U.0.0.2.
Theme: Untold stories about the current and evolving artificial narrow, general, and super intelligence
Short abstract of the interactive presentation session entitled:
As the title indicates, this interactive presentation does not deal with the theoretical foundations, computational mechanisms, commercialized tools, or application opportunities of present-day artificial intelligence, but concentrates on scarcely discussed but highly important topics that scholars should be aware of.
The speaker would like to discuss and share his insights and opinions on the following fascinating questions and topics: (i) Why is AI a problematics?; (ii) If AI is the solution, what are the problems?; (iii) What is the real AI behind the daily news?; (iv) Have you realized that AI is not a Golem, but an ingenious menwork?; (v) Can we talk about intelligence without consciousness?; (vi) Explaining the working of AI mechanisms is fine, but for who?; (vii) Can the historically developed pieces of AI be naturally integrated?; (viii) What to do with artificial super intelligence?; (ix) Has synthetic system knowledge generated by AI-powered systems any importance?; (x) Is AI an energy benefactor or an energy plunderer?; (xi) Is avoidance of misuse of AI the same as that of nukes?; (xii) Is it true that it is always too late to learn AI?
The one dozen issues proposed for discussion will receive approximately equal length time slots in the 120-minute session but it may last even up to 240 minutes, should the participants be interested and actively contributing. The language of presentation and discussion is English. Expected participants are university students, researchers, educators, managers, and anybody who wants to hear interesting untold stories about the thing mistakenly called artificial intelligence. V01/I.