Artificial Intelligence: Cognitive Systems
Summary
The course gives a survey of theory and practical computational implementations of how Natural Language interacts with the physical world.
About
The course gives a survey of theory and practical computational implementations of how Natural Language interacts with the physical world. We will look at topics such as semantic theories of human language, action and perception, situated dialogue, situated language acquisition, grounding of language in action and perception, spatial cognition, generation and interpretation of scene descriptions from images and videos, integrated robotic dialogue systems, etc.
Prerequisites and selection
Requirements
Passing grade in each of the following courses: Introduction to programming, 7.5 credits Introduction to formal linguistics, 7.5 credits Natural language processing, 15 credits Computational semantics, 7.5 credits or achieved equivalent language technology skills and knowledge.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
