CISUC - BitBang: A Model and Framework for Complexity Research
CISUC

BitBang: A Model and Framework for Complexity Research

Authors

Abstract

The science of complexity has been gaining momentum. It spans multiple areas of research and, most of them, use computer generated models to try to reproduce and thus study the phenomena. We describe a framework — BitBang — that aims to provide a base system in which to implement these models. This framework is agent-based, with roots in Alife systems. The framework provides a generic model upon which one can implement the desired system. It started as an effort to apply complexity science to modern computer games, and thus it provides an integration with modern 3D and physical engines. This can offer an added realism to the visualisation, but also adds details to the model being studied. As an example of the possible uses of this framework, we present a research scenario that tries to study the emergence of complexity underlying circadian clocks.

Keywords

complex systems, multi-agent systems

Subject

Evolutionary and Complex Systems

Conference

European Conference on Complex Systems 2006, September 2006


Cited by

Year 2013 : 1 citations

 Caillou, P., Gil-Quijano, J., & Zhou, X. (2013). 'Automated observation of multi-agent based simulations: a statistical analysis approach'. Studia Informatica Universalis.

Year 2012 : 1 citations

 Caillou, P. and Gil-Quijano, J. (2012), ‘Description automatique de dynamiques de groupes dans des simulations à base d'agents’, JFSMA 2012.

Year 2011 : 1 citations

 Haidar, A., An Adaptive Document Classifier Inspired by T-Cell Cross Regulation in the Immune System, PhD Thesis (Indiana Univeristy, 2011).