Knowledge-Based Systems Group
Prof. Gerhard Lakemeyer, Ph.D.
Lecture - Introduction to Artificial Intelligence WS 2019/2020
- Introduction
- Agent Architectures
- Problem Solving as Search
- Games
- Knowledge Representation
- Planning
- Reasoning under Uncertainty
- Learning
- Robotics
- Philosophical Aspects
Contents
Topics covered in the course
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.