- Ementa
- This course addresses the application of Artificial Intelligence (AI) techniques and non-classical logics—such as paraconsistent logic, fuzzy logic, and evidential logic—in productive environments characterized by uncertainty, inconsistency, and informational complexity. It presents theoretical foundations and practical tools for the use of paraconsistent neural networks, intelligent decision support systems, and inference-based models, with emphasis on industrial applications related to production management, quality control, smart logistics, strategic planning, Industry 4.0, and process engineering. Case studies and computational applications complement the theoretical content.
- Bibliografia
- ABE, J. M.; AKAMA, S.; NAKAMATSU, K. Introduction to Annotated Logics: Foundations for Paracomplete and Paraconsistent Reasoning. Cham: Springer International Publishing, 2015. 190 p. (Intelligent Systems Reference Library, v. 88). ISBN 978-3-319-17911-7.
- BOCHTIS, D.; PEARSON, S.; LAMPRIDI, M.; MARINOUDI, V.; PARDALOS, P. Information and Communication Technologies for Agriculture–Theme IV: Actions. Cham: Springer, 2022. 303 p. ISBN 3030841553.
- DA SILVA FILHO, J. I.; ABE, J. M.; TORRES, G. L. Inteligência Artificial com as Redes de Análises Paraconsistentes. São Paulo: LTC-Livros Técnicos e Científicos Editora S.A., 2008. 313 p. ISBN 978-85-216-1631-3.
- DA SILVA FILHO, J. I.; TORRES, G. L.; ABE, J. M. Uncertainty Treatment Using Paraconsistent Logic: Introducing Paraconsistent Artificial Neural Networks. Amsterdam: IOS Press, 2010. 328 p. (Lecture Notes in Computer Science, v. 211). ISBN 978-1-60750-557-0.
- HASSANIEN, A. E.; CHATTERJEE, J. M.; JAIN, V. Artificial Intelligence and Industry 4.0: The Next Frontier in Industries. Cambridge: Academic Press, 2022. 320 p. ISBN 978-0323884686.
- LEE, J.; BAGHERI, B.; KAO, H. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, Amsterdam, v. 3, p. 18-23, 2015.
- MONOSTORI, L. Cyber-physical production systems: Roots, expectations and R&D challenges. Procedia CIRP, Amsterdam, v. 17, p. 9-13, 2014.
- PATHAK, S.; BHATT, P. K.; SINGH, S. K.; TRIPATHI, A.; PANDEY, P. K. Intelligent System Algorithms and Applications in Science and Technology. Boca Raton: Apple Academic Press, 2022. 398 p. ISBN 1774630214.
- REISCHAUER, G. Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technological Forecasting and Social Change, Amsterdam, v. 132, p. 26-33, 2018.
- WANG, L.; TÖRNGREN, M.; ONORI, M. Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, Amsterdam, v. 37, p. 517–527, 2015.