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Ingegneria Informatica (Academic Year 2019/2020) - Programmazione e sicurezza

Intelligenza artificiale



Videolesson

Lesson n. 1: Intelligenza Artificiale. Introduzione
   Objectives
   What is AI
   Foundations of AI
   History of AI 		Go to this lesson Giovanni Felici
Lesson n. 2: Agenti intelligenti
   Agents and Environments
   The Nature of Environments
   The Structure of Agents 		Go to this lesson Giovanni Felici
Lesson n. 3: Searching
   Example problems
   Tree search and graph search
   Uninformed search 		Go to this lesson Giovanni Felici
Lesson n. 4: Informed search - Ricerca con Informazione
   Greedy search
   A* search
   Heuristic functions
   Local Search 		Go to this lesson Giovanni Felici
Lesson n. 5: Constraints satisfaction problems - Soddisfacimento di vincoli
   Definition of CSP
   Constraint Propagation
   Search in CSP
   Structure of CSP 		Go to this lesson Giovanni Felici
Lesson n. 6: Logica proposizionale
   Logical Agents
   Logic, Formally
   Propositional Logic
   Theorem Proving
   Special CNF Systems
   Satisfiability 		Go to this lesson Giovanni Felici
Lesson n. 7: Logica del primo ordine
   Semantic & Syntax
   Quantifiers
   Numbers, Sets, Lists 		Go to this lesson Giovanni Felici
Lesson n. 8: Inferenza in logica del primo ordine
   Reducing to propositional inference
   Unification
   Forward chaining
   Backward chaining
   Resolution 		Go to this lesson Giovanni Felici
Lesson n. 9: Planning - Pianificazione
   Definitions
   Complexity of Planning
   Algorithms for Planning
   Heuristics for Planning
   The Planning Graph 		Go to this lesson Giovanni Felici
Lesson n. 10: Applicazioni del planning
   Planning And Scheduling
   Critical Path Method
   Hierarchical Planning
   Planning in Other Domains 		Go to this lesson Giovanni Felici
Lesson n. 11: Quantificazione dell’incertezza
   Uncertainty
   Probability
   Inference
   Bayes’ Theorem 		Go to this lesson Giovanni Felici
Lesson n. 12: Reti Bayesiane
   Introduction to Bayesian Networks
   Conditional independence in BN
   Exact Inference
   Approximated Inference 		Go to this lesson Giovanni Felici
Lesson n. 13: Probabilistic reasoning over time
   Time and uncertainty
   Four tasks of temporal models
   Hidden Markov Models
   Kalman Filters
   Dynamic Bayesian Networks 		Go to this lesson Giovanni Felici
Lesson n. 14: Making simple decisions
   Utility Theory
   Decision Networks
   The Value of Information 		Go to this lesson Giovanni Felici
Lesson n. 15: Complex decision making - Prima parte
   Sequential Decision Problems
   The Bellman Equation
   Partially Observable Markov Decision Processes 		Go to this lesson Giovanni Felici
Lesson n. 16: Complex decision making - Seconda parte
   Decisions With Multiple Agents
   Dominance and Equilibrium
   Mechanism Design and Auctions 		Go to this lesson Giovanni Felici
Lesson n. 17: Apprendimento & alberi di decisione
   Forms of Learning
   Supervised Learning
   Decision Trees 		Go to this lesson Giovanni Felici
Lesson n. 18: Regressione e classificazione - Prima parte
   Linear Regression
   Linear Classification
   Logistic Regression
   Neural Networks 		Go to this lesson Giovanni Felici
Lesson n. 19: Regressione e classificazione - Seconda parte
   Support Vector Machines
   Non Parametric Models
   Nearest Neighbor
   Non Parametric Regression
   Ensamble Learning
   Computational Learning Theory 		Go to this lesson Giovanni Felici
Lesson n. 20: Learning with knowledge & statistical learning
   Knowledge in learning
   Learning with background
   Statistical learning with complete knowledge
   Statistical learning with uncomplete knowledge 		Go to this lesson Giovanni Felici