- Ementa:
- This course addresses Intelligent Decision Technologies through an interdisciplinary perspective, integrating Artificial Intelligence, Decision Support Systems, and Production Engineering. It emphasizes the treatment of uncertainty, inconsistency, and conflicting information using Paraconsistent Annotated Evidential Logic Eτ and applications based on Paraconsistent Neural Networks. The course focuses on practical applications in Industry 4.0, logistics, and intelligent production systems, combining the analysis of recent research with the development of innovative solutions.
- Bibliografia:
- ROBINSON, John Alan; VORONKOV, Andrei (ed.). Handbook of Automated Reasoning. Amsterdam: Elsevier; MIT Press, 2001.
- RUSSELL, Stuart; NORVIG, Peter. Artificial Intelligence: A Modern Approach. 4. ed. Hoboken: Pearson, 2020.
- Bibliografia Complementar
- ABE, Jair Minoro. Paraconsistent Intelligent-Based Systems: New Trends in the Applications of Paraconsistency. Cham: Springer, 2015.
- ZADEH, Lotfi A. Fuzzy sets. Information and Control, v. 8, n. 3, p. 338-353, 1965.