Knowledge-Based Systems Group

Lecture - Introduction to Artificial Intelligence WS 2019/2020

Contents

Topics covered in the course

• Introduction
• Agent Architectures
• Problem Solving as Search
• Games
• Knowledge Representation
• Planning
• Reasoning under Uncertainty
• Learning
• Robotics
• Philosophical Aspects

Course Dates

Preliminary information:

The lecture starts on Wednesday, 9th October 2019.

Lab Course: High-Level Agent Programming for Logistics Robots

Developing agents for such robotic tasks poses diverse problems to solve: acting rationally under hard real-time constraints, agent-to-agent communication, multi-robot cooperation, and task-level reasoning.

The goal of this lab course is to implement the RCLL scenario in Golog. For this, we will use the newly developed Golog++, which provides a framework for the agent programming language Golog. Golog allows a high-level specification of agent behavior with an explicit world model based on the Situation Calculus.