Russell & Peter Norvig, “Artificial Intelligence, A Modern Approach”, 2nd Ed., Pearson Education Inc., 2003.
Cairo L. Nascimento Jr. & Takashi Yoneyama, “Inteligência Artificial em Controle e Automação”, Editora Edgard Blücher Ltda., 2000.
Norgaard, O. Ravn, N.K. Poulsen & L.K. Hansen, “Neural Networks for Modelling and Control of Dynamic Systems”, Springer-Verlag, 2000.
Shigeo Abe, “Neural Networks and Fuzzy Systems”, Kluwer Academic Publishers, 1997.
Witold Pedrycz and Fernando Gomide, “An Introduction to Fuzzy Sets Analysis and Design”, MIT Press, Hardcover, May 1998.
Nikola K. Kasabov , “Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering”, MIT Press, Cambridge, MA, USA, Hardcover, Oct 1996.
P. K. Simpson, “Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations”, Pergamon Press, 1990.
K.F. Man, K.S. Tang & S. Kwong, “Genetic Algorithms”, Springer-Verlag, 1999.
Teaching Methodologies and Assessment Criteria
Every student has to prepare during the semester, under the supervision of the lecturer of the discipline, a work/small project (PR) and make a PowerPoint presentation in class to the other students attending the discipline.
The theoretical classes will cover the topics of the program and the student will have a ‘continuous evaluation’ (AC) where is considered the ‘assiduity’, the ‘punctuality’, the ‘participation’ and the ‘attitude’ of the student in the classroom, as well as by several short tests along of the teaching period.
The practical-laboratory classes (PL) are devoted to performing several experiments/tests and simulations in computer using software such as Matlab, Excel and others, as well as visits to the laboratory for robotics and automation to study the functioning of robots in healthcare, in bionics, and intelligent devices that give human beings an enhanced power.