- Oggetto:
- Oggetto:
Reasoning about ontologies, causality, preferences, for explainability, accountability and compliance
- Oggetto:
Reasoning about ontologies, causality, preferences, for explainability, accountability and compliance
- Oggetto:
Academic year 2022/2023
- Course ID
- INF01
- Teachers
- Matteo Baldoni (Titolare del corso)
Laura Giordano (Titolare del corso)
Valentina Gliozzi (Titolare del corso)
Roberto Micalizio (Titolare del corso)
Gian Luca Pozzato (Titolare del corso) - Degree course
- PhD in Computer Science
- Teaching period
- Da definire
- Type
- A scelta dello studente
- Credits/Recognition
- 6
- Course disciplinary sector (SSD)
- INF/01 - informatics
- Delivery
- Tradizionale
- Language
- Inglese
- Oggetto:
Sommario del corso
- Oggetto:
Program
Logics for AI have recently gained renewed interest due to their suitability for explanation and accountability, in view of a trustworthy and explainable AI.
The course will present an overview of some logical approaches in the field of Knowledge Representation and Reasoning and their use for explainability. Specifically, it will address topics concerning: description logics, ontologies with exceptions, revision of ontologies, reasoning about causality, preferential reasoning, multi-agent systems, accountability and compliance verification.
Suggested readings and bibliography
- Enroll
- Open
- Oggetto:
