Intelligent Cooperative Agents (CS4519-KP12)


Lecturer: Prof. Dr. Nele Rußwinkel, Prof. Dr. Diedrich Wolter

Tutorials: Moritz Bayerkuhnlein, Rebecca von Engelhardt

 

Structure


The module Intelligent Cooperative Agents (CS4519-KP12) consists of two lectures and one exercise (CS4519-V, 6 SWS) as well as a practical project (CS4519-P, 2 SWS).

Lecture videos will be available at the beginning of each week. In the first week, we will provide a general introduction and clarify course organization. The first topical lectures will be published on October, 23.


Int. Cooperative Agents: Algorithms and Architectures

Lecturer: Diedrich Wolter

Int. Cooperative Agents: Cognitive Mechanisms and Collaboration

Lecturer: Nele Rußwinkel

Tutorial

Lecturer: Moritz Bayerkuhnlein und Rebecca von Engelhardt

Project

The project internship takes place as a block towards the end of the lecture period. The exact time frame will be announced at the beginning of the semester.

 

Scope


Int. Cooperative Agents: Algorithms and Architectures

  • Intelligent agents and their role in AI
  • Search in problem spaces, adversarial search
  • Knowledge representation (KR) & reasoning
    • Logics of KR
    • Inference algorithms (tableaux, resolution), reasoning systems
    • Knowledge bases (ConceptNet, SUMO, CyC, etc.)
  • Knowledge acquisition/learning
    • Knowledge graph embeddings
    • Inductive Logic Programming (ILP)
  • Multi agent systems (MAS)
    • Social choice
    • Formal argumentation
  • Planning
    • State-space planning, PDDL
    • HTN planning
    • Multi-agent planning
  • Computational creativity
    • Analogy
    • Concept blending
    • Generative AI, multimodale Netze (CLIP)
       

Int. Cooperative Agents: Cognitive Mechanisms and Collaboration

  • Introduction to intelligent agents
  • Autonomous agents
  • Agents with memory and internal states
  • Agents with goals und proactive agents
  • Perception in agents
  • Embodied agents
  • Agents interacting with real environments
  • Control of dynamics and belief updating
  • Learning through interaction
  • Sense of control and minimal active self
  • Cooperative agents and cooperative AI
  • Theory of mind and anticipation
  • Dynamic decision making
  • Joint action and robots
  • Communication and timing

 

Additional Information


Credit points (ECTS): 12

Target group: for more information see here

Moodle: Further information and materials for the lecture and practical course can be found on Moodle. You must register for the course yourself in order to access it. This will be possible at the latest at the beginning of the semester on 14.10.2024.