|
|
April 23, 2026
|
|
|
Faculty of Computer Science, AGH University of Krakow
|
Large Language Model (LLM) workflows are rapidly evolving from simple “prompt → answer” interactions toward Agentic AI: autonomous systems capable of executing complex tasks through iterative loops, multi-step reasoning, and human-in-the-loop feedback.
In this talk, Juan Carlos Burguillo will present key architectural patterns behind this transformation. He will also explore emerging connections between modern generative AI systems and Nature-Inspired Computing paradigms, such as neuroevolution, swarm intelligence, and artificial immune systems. These approaches may help address key limitations of current generative AI models.
Juan Carlos Burguillo is a Full Professor at the University of Vigo (Spain), affiliated with the Information Technologies Group in the Department of Telematic Engineering and the atlanTTic Research Center. He received his degree in Telecommunications Engineering in 1995 and his Ph.D. in Telematics in 2001.
His research interests include multi-agent systems, game theory, evolutionary algorithms, and artificial intelligence. He has participated in numerous national and international R&D projects and authored over 100 scientific publications. He serves as an area editor of Simulation Modelling Practice and Theory (Elsevier) and regularly reviews for leading conferences and journals.
In 2010, he was awarded the Medal of the Order of Merit by the Spanish Ministry of the Interior for supporting law enforcement in combating online child crime.
Free entry – open to all: staff, PhD students, students and external participants. The seminar will be held in English.
Online streaming:
https://agh-mche.webex.com/meet/informatyka
We invite you to watch the recording of the lecture and listen to the podcast!