IDENTIFYING DATA 2017_18
Subject (*) PLANNING AND APPROXIMATE REASONING Code 17665204
Study programme
Computer Engineering: Computer Security and Intelligent Systems (2013)
 Cycle 2nd
Descriptors Credits Type Year Period
6 Optional 1Q
Language
Català
Department Computer Engineering and Mathematics
Coordinator
MORENO RIBAS, ANTONIO
 E-mail antonio.moreno@urv.cat
Lecturers
MORENO RIBAS, ANTONIO
Web
General description and relevant information Introduction to the planning techniques as problem solving tools. The main approaches to automatic planning will be presented. The student must be able to implement a planner and solve a case study. The second part is devoted to introduce the main concepts on approximate reasoning, focused on Fuzzy Logic. The use of fuzzy logic in rule-based systems will be presented. The student must be able to apply this methodology to a particular problem.
In this subject you only have the right to make the exam, because the degree you are studying is going to be extinguished. You have to take a look the timetable of the subject to know the exam's date. If you need an extraordinary exam session, you have to enrol for this, presenting an application to the secretariat of your campus or faculty.

Continguts
Topic Sub-topic
Expert systems with approximate reasoning Probabilistic models
Evidence theory.
Fuzzy logic and reasoning based on fuzzy rules.
Introduction to planning methods Advanced techniques of planning.

Atenció personalitzada
Description
The lecturers will have several hours during the week in which students can visit them and present them their questions or doubts concerning the content of the course. The student can attend the lectures of the course with the same name, in master MESIIA.

Avaluació
 
Other comments and second exam session

The student must pass two types of activities:

  • Exams: 50%.
  • Practicals: 50%

A second call will be available for failed evaluation activities.

During the exams, no communication or data transmission device can be used.


Fonts d'informació
Basic Russell, Norvig, Artificial Intelligence, a modern approach, Prentice-Hall, 2010
G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic: theory and applications, Prentice-Hall, 1995

Complementary

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.