LA SIMPLICIDAD EN LA CIENCIA: DE NEWTON A SPACEX

Autores/as

  • FRANCISCO JAVIER TREJO GARCÍA Universidad Anahuac México

Palabras clave:

Simplicidad científica, teoría del caos, sistemas complejos

Resumen

¿Una idea simple puede explicar fenómenos complejos o mejorar sistemas tecnológicos avanzados? Este artículo explora cómo la simplicidad ha sido un principio fundamental en la ciencia y la ingeniería, desde las leyes de Isaac Newton hasta tecnologías contemporáneas como el sistema de acoplamiento de la cápsula Dragon de SpaceX. La idea central es que simplificar no significa ignorar la complejidad, sino comprenderla lo suficiente para identificar lo verdaderamente esencial. 

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Referencias

Deng, J. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288–294. https://www.sciencedirect.com/science/article/abs/pii/S016769118280025X?via%3Dihub

Fotocommunity. (s. f.). Starting a pool game stock photo. https://www.bing.com/images/search?view=detailV2&ccid=pJbq19uU&id=2C442282EE02C65FB42C4295499F74DC7279C4E0

Guicciardini, N. (2009). Isaac Newton on mathematical certainty and method. The MIT Press. https://chooser.crossref.org/?doi=10.7551%2Fmitpress%2F9780262013178.001.0001

Hayles, N. (1990). Chaos bound: Orderly disorder in contemporary literature and science. Cornell University Press.

Matthews, J., Driscoll, C., Fouad, E., Welter, A., Jarmulowicz, M., & Ipnar, J. (2020). Design, development, testing, and flight of the Crew Dragon docking system. Proceedings of the 45th Aerospace Mechanisms Symposium, 484–503. https://esmats.eu/amspapers/pastpapers/pdfs/2020/matthews.pdf

Norris, J. (1997). Markov chains. Cambridge University Press.

Palmer, T. (2022). The primacy of doubt: From quantum physics to climate change. How the science of uncertainty can help us to understand our chaotic world. Basic Books.

Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5), 341–356. https://link.springer.com/article/10.1007/BF01001956

Prigogine, I., & Stengers, I. (2018). Order out of chaos: Man’s new dialogue with nature. Verso Books.

Rausand, M., & Høyland, A. (2004). System reliability theory: Models, statistical methods, and applications. John Wiley.

S. A. (s. f.). Complexity reduction: To realize a strategy, you first need to reduce complexity. Stratechi. https://www.stratechi.com/complexity-reduction

Strogatz, S. (2024). Nonlinear dynamics and chaos. Chapman and Hall/CRC.

Suh, N. (2001). Axiomatic design: Advances and applications. Oxford University Press.

Trejo, F., & Torres-Escobar, R. (2026). Application of a grey model MCGM (1,1) for demand forecasting in a third-party logistics providers in maquila industry in Mexico. Grey Systems: Theory and Application, 16(2), 225–244. https://www.emerald.com/gs/article-abstract/16/2/225/1331230/Application-of-a-grey-model-MCGM-1-1-for-demand

Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://www.sciencedirect.com/science/article/pii/S001999586590241X?via%3Dihub

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Publicado

2026-09-12

Cómo citar

TREJO GARCÍA, F. J. (2026). LA SIMPLICIDAD EN LA CIENCIA: DE NEWTON A SPACEX. +Ciencia, 42, 33-37. https://publicaciones.anahuac.mx/index.php/masciencia/article/view/3493