[ 993TASMPRAV22 ] VL Planning and Reasoning in Artificial Intelligence

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Martina Seidl 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2023W
Objectives The aim of this course is understand and use different kinds of formalisms to solve planning and reasoning tasks.
Subject This lecture covers symbolic reasoning techniques that are used in various application domains like planning or formal verification. The underlying theory of the applied formalims is introduced and the power of the inference mechanisms offered by these formalisms is analyzed. Encodings of concrete application problems demonstrate strengths and limitations of the symbolic reasoning techniques.
Criteria for evaluation The evaluation is together with the exercise class and is based on:

  • Weekly online exercises
  • Projects in teams and presentations of the solutions
  • Short presentation of a recent topic related to the course

Alternatively, there is also an exam offered.

  • Weekly lecture
  • Weekly exercises
  • Two encoding projects
  • Literature study/tool evaluation
Language English
Study material
  • Slides of the lecture
  • Recordings of the lectures
  • Links to recent literature
  • Solutions to some of the exercises
Changing subject? No
Corresponding lecture 201COMACALV18: VL Computer Algebra (3 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
993TARKPRAV20: VL Planning and Reasoning in Artificial Intelligence (2020W-2022S)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment