170265 20260410165450.0 sideral 81077 ART-2011-81077 eng Pellicer-Lostao, C. Universidad de Zaragoza Application of chaotic number generators in econophysics 2011 Agent-based models have demonstrated their power and flexibility in Econophysics. However their major challenge is still to devise more realistic simulation scenarios. The complexity of Economy makes appealing the idea of introducing chaotic number generators as simulation engines in these models. Chaos based number generators are easy to use and highly configurable. This makes them just perfect for this application info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion López-Ruiz, R. Universidad de Zaragoza (orcid)0000-0003-4055-3390 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 5007 075 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ciencia Comput.Intelig.Ar 4, 3 (2011), 237-240 J. Eng. Sci. Technol. Rev. Journal of Engineering Science and Technology Review 1791-9320 465894 http://zaguan.unizar.es/record/170265/files/texto_completo.pdf Versión publicada 2641551 http://zaguan.unizar.es/record/170265/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:170265 articulos driver 2026-04-10-13:45:29 ARTICLE