- Ementa
- As Tecnologias de Decisão Inteligentes se caracterizam por sua natureza interdisciplinar, unindo a ciência da computação com o desenvolvimento da inteligência artificial, sistemas inteligentes, automação e robótica; e os sistemas de informação com o desenvolvimento de sistemas de suporte a decisões e a engenharia com o desenvolvimento de sistemas. A disciplina pretende oferecer oportunidades para a apresentação de novos resultados de pesquisa e discussão sobre eles, levando à transferência de conhecimento e geração de novas ideias e produtos.
- Bibliografia
- ABE, Jair Minoro (Ed.). Paraconsistent intelligent-based systems: New trends in the applications of paraconsistency. Springer, Vol. 94, ISBN:978-3-319-19721-0, 306 pages, Germany, 2015.
- AKAMA, Seiki. Towards Paraconsistent Engineering, Intelligent Systems Reference Library, Volume 110, 234 pages, 2016, ISBN: 978-3-319-40417-2 (Print) 978-3-319-40418-9 (Online), Series ISSN 1868-4394, Publisher Springer International Publishing, DOI: 10.1007/978-3-319-40418-9.
- BRADLEY, Peter. Machine Learning: A Comprehensive, Step-By-Step Guide To Learning And Understanding Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts and Techniques, Peter Bradley, 436 pages, ISBN-10:139311461X, ISBN-13: 978-1393114611.
- BROWN, Barclay R. Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual Modeling, and Systems Thinking 1st Edition, Wiley; 1st edition (October 4, 2022), Hardcover, 384 pages, ISBN-10: 1119665590, ISBN-13: 978-1119665595.
- CHIANG, Stanley. Hacking the System Design Interview: Real Big Tech Interview Questions and In-depth Solutions, Independently published (July 22, 2022), 252 pages, ISBN-13: 979-8839126497.
- DE CARVALHO, Fábio Romeu; ABE, Jair Minoro. A paraconsistent decision-making method. Springer, ISBN 978-3-319-74109-3; ISBN eBook 978-3-319-74110-9; 2018, 212p.
- RUNKLER, Thomas A. Data Analytics: Models and Algorithms for Intelligent Data Analysis 3rd ed., Springer Vieweg; 3rd ed. 2020 edition (May 14, 2020), 176 pages, ISBN-10: 3658297786, ISBN-13: 978-3658297787.