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Artificial Intelligence fundamentals - 2017
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Corso di Laurea Magistrale in Informatica (LM-18)
AIF-17
III - Reasoning under uncertainty
Belief networks
Belief networks
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UNR-2.pdf
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◄ Quantifying uncertainty
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Syllabus of AI fundamentals
Course plan
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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
Description logics
Your turn - Section II
Quantifying uncertainty
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.
Probabilistic reasoning over time ►