The course provides a basic introduction to classical AI (artificial intelligence) as well as non-classical AI. It addresses fundamental conditions, problems and challenges for AI also from a philosophical perspective.
Background and history of AI in outline.
Fundamental problems and challenges, e.g. - realism, brittleness, scalability, real-time requirements, the frame problem, the homunculus problem, the substrate problem, symbol grounding, common-sense knowledge and common-sense reasoning.
Fundamentals of search, e.g. problem, solution, state space, breadth-first, depth-first, heuristics, A*, local search and optimization.
Knowledge representation: logic as form of expression (syntax and semantics of propositional logic and first-order logic).
Agent paradigms: the hierarchical paradigm, the reactive paradigm, and the hybrid paradigm. Classical planning and execution.
Fundamentals of Artificial Intelligence, 7.5 credits
Autumn Term 2023
28 August 2023
30 October 2023
Type of studies
To be admitted you must have 60 ECTS-credits in Computing Science/Cognitive Science or 2 years of completed studies, in both cases including a basic programming course consisting of at least 7.5 ECTS-credits (e.g. 5DV157, 5DV158, 5DV176, or 5DV177) and either at least 7.5 credits in Data Structures and Algorithms (e.g. 5DV149, or 5DV150) or at least 7.5 credits within Application Programming in Python (e.g. 5DA000) or equivalent.
Proficiency in English equivalent to Swedish upper secondary course English B/6. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.