Artificial Intelligence and its Performance in Systems Engineering
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Keywords

Inteligencia Artificial
aprendizaje profundo
aprendizaje automatizado
ordenador
computadoras
sistema
información Artificial Intelligence
deep learning
machine learning
computer computers
system
information

How to Cite

Maza Amador, J. de J., & Citarella Espinoza, M. C. (2020). Artificial Intelligence and its Performance in Systems Engineering. Gestión Competitividad E Innovación, 8(2), 10-19. Retrieved from https://pca.edu.co/editorial/revistas/index.php/gci/article/view/128

Abstract

Artificial Intelligence is conceived as "the ability of computers to perform activities that normally require human intelligence", it is part of the computer sciences in charge of the design of intelligent systems. Current trends indicate that Artificial Intelligence techniques such as: algorithms, neural networks, automatic learning systems have been of great importance to develop the internet of things. The objective of this article is based on analyzing the behavior of systems engineering in Artificial Intelligence. The research was based on a qualitative approach under the critical literature review, defined according to Cortes and León, as the process by which relevant information is consulted, extracted, and compiled on the subject to be investigated, taking into account the variables under study. The results show that Artificial Intelligence seeks that non-natural systems solve or help to solve the same problems that humans solve. It seeks to help computationally or robotically in dangerous tasks and jobs based on categories and thoughts. With Artificial Intelligence it is intended to build robot homes, intelligent cars, among many other things to facilitate the life of humans.

pdf (Español (España))

References

Acosta, M. (2018). “IA: singularidad tecnológica y antropomorfismo”, en: Ideas 12. Sobre Inteligencia Artificial, ¿Conciencia Artificial?, de Natalia López Moratalla, 2018: 103-120.

Azar, M. A., Tapia, M., García, J. L., & Pérez, A. J. M. (2019). Inteligencia artificial de las cosas. In XXI Workshop de Investigadores en Ciencias de la Computación (WICC 2019, Universidad Nacional de San Juan).

Badaró, S., Ibañez, L., & Agüero, M. (2013). Sistemas expertos: fundamentos, metodologías y aplicaciones. Ciencia y tecnología, 13, 349-364. Doi: http://dx.doi.org/10.18682/cyt.v1i13.122

Boden, M. (2017). Inteligencia Artificial. Turner Publicaciones.

Eadicicco, L. (2017) «This Researcher Programmed the Perfect Poker-Pla-ying Computer», Time, 1 de febrero de 2017, <http://time.com/4656011/artificial-intelligence-ai-poker-tournament-libratus-cmu>.

Fitzpatrick, A. (2016). «Google’s AI Just Did Something Nobody Thought Possible», Time, 27 de enero de 2016, http://time.com/419 6275/google-deepmind-ai-go

Galván, P. (2016). Impacto de la Inteligencia Artificial en el Desarrollo de Software. Recuperado de: https://sg.com.mx/revista/56/inteligencia-artificial-desarrollo-software

Gardner, H. (2010). La inteligencia reformulada. Las cinco mentes del futuro. Buenos Aires: Paidós, 2013. p. 17.

Herrera, L., & Muñoz, D. (2017). Inteligencia artificial y lenguaje natural. Lenguas Modernas, 19, 157-165. Recuperado de: https://lenguasmodernas.uchile.cl/index.php/LM/article/view/45790

INEGI. (2017). Estadísticas a propósito del día mundial del internet (17 de mayo). 2017; Recuperado de: tinyurl.com/y8ye6qua.

López de Mántaras, R. (2015). Algunas reflexiones sobre el presente y futuro de la Inteligencia Artificial.

Mariño, S., & Primorac, C. (2016). Propuesta metodológica para desarrollo de modelos de redes neuronales artificiales supervisadas. IJERI: International Journal of Educational Research and Innovation, 6, 231-245. Recuperado de: https://www.upo.es/revistas/index.php/IJERI/article/view/1654/1569

Rouhiainen, L. (2018). Inteligencia artificial. Madrid: Alienta Editorial.

Sánchez, M. (2017). Inteligencia Artificial. Recuperado de: https://foroconsultivo.org.mx/INCyTU/documentos/Completa/INCYTU_18-012.pdf

Maza Amador, J. de J. (2020) Las Energías Renovables son la Autonomía Energética para la integración de Dispositivos Embebidos inalámbricos con el IoT. Gestión Competitividad e Innovación, 7(2), 13-28. Recuperado a partir de https://pca.edu.co/editorial/revistas/index.php/gci/article/view/96