Artificial Intelligence I
A.Y. 2018/2019
Learning objectives
Fornire le basi dell'approccio logico all'intelligenza artificiale. Le applicazioni studiate sono principalmente rivolte alla progettazione di agenti autonomi.
Expected learning outcomes
Undefined
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Milan
Lesson period
First semester
ATTENDING STUDENTS
Course syllabus
NON-ATTENDING STUDENTS
"Intelligent" agents and Representation and Reasoning Systems (RRS). Search algorithms, blind and informed search strategies, heuristics. RRS involving definite/complete knowledge, integrity constraints, negation, disjunction. Knowledge representation. Representation of actions and change, planning. Assumption based reasoning (hint). Learning (hint).
Course syllabus
"Intelligent" agents and Representation and Reasoning Systems (RRS). Search algorithms, blind and informed search strategies, heuristics. RRS involving definite/complete knowledge, integrity constraints, negation, disjunction. Knowledge representation. Representation of actions and change, planning. Assumption based reasoning (hint). Learning (hint).
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Ornaghi Mario