Emergencia de la vida artificial basada en premisas biológicas

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Rafael Mercado Herrera http://orcid.org/0000-0002-2135-5973
Vianney Muñoz Jiménez http://orcid.org/0000-0003-2180-6743
Marco Antonio Ramos Corchado http://orcid.org/0000-0003-3982-6988

Resumen

Se presenta de manera general el área de la vida artificial. Inicialmente, se delinean los fundamentos teóricos que definen a una criatura virtual, se continúa con los avances que ha observado el área, desde la morfología hasta el comportamiento de las criaturas, y al final se presenta un análisis prospectivo de sus aplicaciones para mejorar la calidad de vida de los humanos. Al respecto, la inteligencia artificial nace en 1956 gracias al matemático John McCarthy y otros investigadores como Marvin Minsky. Este concepto se define como la ciencia e ingeniería de “hacer máquinas inteligentes.” Otro término fundamental es la vida artificial, organismos que portan esta inteligencia. En la actualidad ambas áreas se complementan y describen una nueva clase de organismos artificiales llamados criaturas virtuales.

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MERCADO HERRERA, Rafael; MUÑOZ JIMÉNEZ, Vianney; RAMOS CORCHADO, Marco Antonio. Emergencia de la vida artificial basada en premisas biológicas. CIENCIA ergo-sum, [S.l.], v. 30, n. 1, jul. 2022. ISSN 2395-8782. Disponible en: <https://cienciaergosum.uaemex.mx/article/view/15660>. Fecha de acceso: 18 ago. 2026 doi: https://doi.org/10.30878/ces.v30n1a9.
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Cheney, N., MacCurdy, R., Clune, J., & Lipson, H. (2013). Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. In Proceedings of the 15th annual conference on Genetic and evolutionary computation, 167-174).

Fowler, S., Roush, R., Wise, J., & Stronck, D. (2013). Concepts of Biology. OpenStax College.

Ito, T., Pilat, M., Suzuki, R., & Arita, T. (2013). Coevolutionary dynamics caused by asymmetries in predator-prey and morphology-behavior relationships. ECAL (Eurpean Conference on Artificial Life). Retrieved from https://www.semanticscholar.org/paper/Coevolutionary-Dynamics-Caused-by-Asymmetries-in-Ito-Pilat/62d74e5df9bc61a0eac3a6de02b0e655adeabc92

Ito, T., Pilat, M. L., Suzuki, R., & Arita, T. (2016). Population and evolutionary dynamics based on predator–prey relationships in a 3d physical simulation. Artificial life, 22(2), 226-240.

Lessin, D., Fussell, D., & Miikkulainen, R. (2013). Open-ended behavioral complexity for evolved virtual creatures. GECCO ‘13: Proceedings of the 15th annual conference on Genetic and evolutionary computation, 335-342. https://doi.org/10.1145/2463372.2463411

Lessin, D., & Risi, S. (2015). Evolved Virtual Creatures with Soft-Body Muscles: On a Bio-Mimetic Path to Meaningful Morphological Complexity. GECCO Companion ‘15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 761-762. https://doi.org/10.1145/2739482.2764897

Marfenin, N. N., & Kosevich, I. A. (2004). Morphogenetic evolution of hydroid colony pattern. Hydrobiologia, 530(1-3), 319-327.

Pilat, M. L., & Jacob, C. (2008). Creature academy: A system for virtual creature evolution. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 3289-3297. https://doi.org/10.1109/CEC.2008.4631243.

Pilat, M. L., Ito, T., Suzuki, R., & Arita, T. (2012). Evolution of virtual creature foraging in a physical environment.  International Conference on the Simulation and Synthesis of Living Systems 12, 423-430. https://doi.org/10.7551/978-0-262-31050-5-ch056

Prusinkiewicz, P., & Lindenmayer, A. (2012). The algorithmic beauty of plants. Springer Science & Business Media.
Ray, T. S. (1993). An evolutionary approach to synthetic biology: Zen and the art of creating life. Artificial Life, 1(1-2), 179-209.

Sherman, W. R., & Craig, A. B. (2018). Understanding virtual reality: Interface, application, and design. Morgan Kaufmann.

Sims, K. (1994). Evolving virtual creatures. SIGGRAPH ‘94: Proceedings of the 21st annual conference on Computer graphics and interactive techniques, 15-22. https://doi.org/10.1145/192161.192167

Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.

Yoshida, T., Ellner, S. P., Jones, L. E., Bohannan, B. J., Lenski, R. E., & Hairston Jr, N. G. (2007). Cryptic population dynamics: rapid evolution masks trophic interactions. PLOS Biology, 5(9), e235. https://doi.org/10.1371/journal.pbio.0050235