392144 Agentic AI: Architectures, Self-Evolution, and Safety (S) (SoSe 2026)

Contents, comment

This Master's seminar explores the frontier of Advanced Intelligent Agents, investigating the challenges of moving beyond Large Language Models (LLMs) towards fully integrated, autonomous systems. The seminar focuses on modular system design, where cognitive, perceptual, and operational components are systematically mapped and integrated. We will critically investigate the core computational modules of advanced agents (including sophisticated memory, world modeling, reward processing, and goal management) and examine the mechanisms of agent self-evolution and continuous learning in dynamic environments. A central theme is the imperative of safe and beneficial AI, covering ethical alignment, robustness, and practical mitigation strategies necessary for trustworthy real-world deployment. This course is anchored in the comprehensive review "Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems"

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mo 14-16 CITEC 2.015 13.04.-24.07.2026

Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Seminar Student information
- Graded examination Student information
39-M-Inf-AI-adv_a Advanced Artificial Intelligence Advanced Artificial Intelligence Advanced Artificial Intelligence: Seminar Graded examination
Student information
39-M-Inf-ASE-adv-foc Advanced Autonomous Systems Engineering (focus) Advanced Autonomous Systems Engineering (focus) Advanced Autonomous Systems Engineering (focus): Seminar Student information
- Graded examination Student information
39-M-Inf-ASE-adv_a Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering Advanced Autonomous Systems Engineering: Seminar Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
No eLearning offering available
Address:
SS2026_392144@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_659862590@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, January 2, 2026 
Last update times:
Friday, January 2, 2026 
Last update rooms:
Friday, January 2, 2026 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=659862590
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
659862590