DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
E SCIENZE MATEMATICHE

UNIVERSITA' DEGLI STUDI DI SIENA
 
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Education

Insegnamento
Artificial Intelligence

 
a.a. 2013-2014
Corso Lm Computer and Automation Engineering
Anno 1
Semestre II
Obiettivi Acquiring knowledge of: - the notion of intelligent agent - the fundamentals of planning and problem solving - the fundamentals of symbolic/sub-symbolic representation of knowledge - neural networks and their training algorithms - the notions underlying Bayes decision theory, statistical pattern recognition and clustering - the fundamentals of supervised/unsupervised learning
Ore 63
Crediti 9
Docente Edmondo Trentin

Note
Please refer to the web-page of the course (follow the link "Teaching Activity" from the personal homepage of the lecturer) for bibliography, slides, and detailed program.

Programma
Symbolic AI:
Intelligent agents, problem solving, planning, constraint satisfaction problems, genetic algorithms.

Sub-symbolic AI:
Artificial neural networks, Bayesian classifiers, parametric and non-parametric estimation techniques, unsupervised learning and clustering, learning from sequential and structured (i.e., graphical) data.


Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche - Via Roma, 56 53100 SIENA - Italy