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