Checking date: 22/05/2023

Course: 2023/2024

Knowledge Representation and Reasoning
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)


Department assigned to the subject: Computer Science and Engineering Department

Type: Electives
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
The goal consists of providing to the students the ability of acquiring and expressing the knowledge of a problem domain. The resulting transparent and explicable knowledge will take the form of an ontology and a set of rules to be applied in a neurosymbolic approach (an hybrid AI that would be able to compare, explain and validate an automated solution obtained by machine learning).
Skills and learning outcomes
Description of contents: programme
1 Introduction: the symbolic approach to the AI 2 The other process of knowledge acquisition 3 Conceptual knowledge: ontologies y knowledge trees 4. Reasoning knowledge: production rules.
Learning activities and methodology
Learning activities: * Theoretical lectures: Mainly oriented to the acquisition of the theoretical knowledge of the subject' competences * Practical lectures: Mainly oriented to problem solving. * Partial exams: Oriented to prove the understanding of theoretical lectures * Practical teamwork: Oriented to prove the understanding of practical lectures, and towards the competences related to work in teams in a practical case. organization and written communication (in written reports) * (online or onsite) Personal Tutoring (asked by email in advance) Methodology: * Oral lectures in classroom * Teamwork * Problem solving
Assessment System
  • % end-of-term-examination 33
  • % of continuous assessment (assigments, laboratory, practicals...) 67
Calendar of Continuous assessment
Basic Bibliography
  • David M Bourg, Glenn Seemann. AI for Game Developers. O'Reilly Media, Inc.. 2004
  • Han Liu, Alexander Gegov, Mihaela Cocea. Rule Based Systems for Big Data. Springer. 2015
  • Russell, S., Norvig, P.. Artificuial Intelligence. Prentice Hall. 2020

The course syllabus may change due academic events or other reasons.