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