Subject: Subject Sylbus: Artificial Intelligence and Autonomous Systems - 096208

Artificial Intelligence and Autonomous Systems - 096208
Will not be given the year
Credit
Points
2.5
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2     1 6
Possibility to guided reading

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Foundations and Applications of Artificial Intelligence 096210
or Introduction to Artificial Intelligence 236501


Computational Foundations of Automated Planning. Classical Planning with No Uncertainty: Optimal and Semi-Optimal Planning, State-Space and Plan-Space Search Algorithms, Automatic Construction of Search Heuristics, Planning as Iterative Constraint Satisfaction. Extensions to Planning with Quantitiative Resources and Qualitative/ Stochastic Uncertainty. Application of Automated Planning in Autonomous Software and Hardware Systems.




Textbooks
PublishedPublisherAuthorsBook
2004morgan kaufmannm. ghallab, d. nau,p. traversoautomated planning, theory and practice

Created in 08/03/2021 Time 14:21:11