Skip to main content
You are currently using guest access (
Log in
)
Artificial Intelligence fundamentals - 2017
Home
Courses
Corso di Laurea Magistrale in Informatica (LM-18)
AIF-17
II - Knowledge representation and reasoning
Description logics
Description logics
Completion requirements
Click
KRR-6.pdf
link to view the file.
◄ Semantic networks and structured representation
Jump to...
Jump to...
Syllabus of AI fundamentals
Course plan
Social forum
Announcements
Grading strategy
Introduction and agents
Formalization and problem formulation
Constraint propagation
Heuristic search for CSP
Your turn - Section I
Characterization of Knowledge Based systems
Knowledge engineering and Ontology engineering.
Nonmonotonic reasoning
Logics for knowledge and beliefs
Semantic networks and structured representation
Your turn - Section II
Quantifying uncertainty
Belief networks
Probabilistic reasoning over time
Your turn - Session III
Classical planning; definition
Classical planning: heuristics and algorithms
Planning in the real world
Your turn - Session IV
Rule based systems: SLD resolution
Logic programming and Prolog
Production systems and CLIPS
Your turn - Session V
Computer Science as Empirical Inquiry: Symbols and Search, A. Newell and H. A. Simon
A fundamental tradeoff in knowledge representation and reasoning, Hector J. Levesque, Ronald j Brachman.
A Framework for representing knowledge, Marvin Minky.
Computer Science as Empirical Inquiry: Symbols and Search, A. Newell and H. A. Simon
A fundamental tradeoff in knowledge representation and reasoning, Hector J. Levesque, Ronald j Brachman.
A Framework for representing knowledge, Marvin Minky.
Your turn - Section II ►