Artificial Intelligence: Cognitive Systems
Summary
The course gives a survey of theory and practical implementations on how to build artificial systems that approximate intelligent human behavior by connecting natural language with the physical world through action and perception
About
Some topics that we will discuss are:
• semantic approaches to natural language, (inter)action and perception,
• their computational modelling with data-driven (machine/deep learning) and top-down (expert) based methods,
• grounded language models,
• situated dialogue systems,
• robotic systems and sensors,
• creation of resources and datasets,
• ethical considerations when building and using such systems,
• generation and interpretation of scene descriptions and route instructions,
• computational modelling of spatial cognition,
• computational modelling of situated interaction, and others.
Prerequisites and selection
Entry requirements
Admission to the course requires general entry requirements for second-cycle education and a successful completion of a course in
- programming, 7.5 credits and
- machine learning, 7.5 credits.
or courses giving equivalent skills and knowledge.
English 6 or equivalent is also required.
Selection
Credits within computational linguistics, language technology, and language informatics.
Facilities
The Faculty of Humanities is located in the Humanisten building at Renströmsgatan 6. The Department of Philosophy, Linguistics and Theory of Science has its premises on the 5th floor. Both the Faculty of Humanities and the adjacent Humanities Library offer several study areas and group rooms.
