Application of Chaotic Number Generators in Econophysics
AbstractAgent-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.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number 1110.4506.
Date of creation: Oct 2011
Date of revision: Oct 2011
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Web page: http://arxiv.org/
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-01 (All new papers)
- NEP-CMP-2011-11-01 (Computational Economics)
- NEP-HME-2011-11-01 (Heterodox Microeconomics)
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- Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006.
"Growth and allocation of resources in economics: The agent-based approach,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 370(1), pages 86-90.
- Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.
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