flame.ac.uk
Projects
http://www.flame.ac.uk/projects
The following are some of the projects that we work with that use FLAME. Some more details about some can be found on the first user meeting page. If you are interested in being included on this page please contact us. Authors: Silvano Cincotti . Marco Raberto, Andrea Teglio, Herbert Dawid, Simon Gemkow, Philipp Harting, Sander van der Hoog, Michael Neugart, Christophe Deissenberg, Kordian Kabus, Mauro Gallegati, Matteo Richiardi, Saul Desiderio and Umberto Gostoli. E coli interacting with oxygen. Rod Sm...
eurace.group.shef.ac.uk
EURACE Reports
http://eurace.group.shef.ac.uk/reports.html
At the University of Sheffield. Implementation of the C@S Model using FLAME.
thenegation.com
Work & Projects
http://www.thenegation.com/pages/work.html
The negation of negation. Here is a quick summary of my ongoing work, projects and affiliations, in no particular order. Free and Open Source Projects. An R Package for calling functions over a combination of arguments. A d3-based Javascript library to plot multiple time series data. A Java library and command line application to parse, manipulate and generate XMML. An MGARCH (BEKK Specification) simulation estimation and estimation package. A grammatical evolution application based on R and EpochX.
w8noise.com
Projects
http://www.w8noise.com/pages/projects.html
Here is a quick summary of my ongoing work, projects and affiliations. Free and Open Source Projects. Projects Currently Involved In. An Agent-based Model of the European Economy. Optimal Risk Sizing Technology for Asset Management Companies. Verbatim copying and redistribution of this web site (in part or entirety) are permitted provided under the Creative Commons Noderivs license version 3.0.
eurace.group.shef.ac.uk
EURACE Deliverables
http://eurace.group.shef.ac.uk/deliverables.html
At the University of Sheffield. X-Agent framework and software environment for agent-based models in economics. Agile methodologies for defining and testing agent-based models. Graphical use interface to build and develop complex agent-based models in economics. Agent-based computational economics modelling guidelines. Agent-based models of goods, labour and credit markets. Agent-based models of financial markets. Porting of agent models to parallel computers.
eurace.group.shef.ac.uk
EURACE Publications
http://eurace.group.shef.ac.uk/publications.html
At the University of Sheffield. FLAME: A parallel agent based framework using X-machines, poster presented at Dresden Germany, European Comission Complex Systems 2007. EURACE: A Massively Parallel Agent-based Model of the European Economy, Christophe Deissenberg, Sander van der Hoog and Herbert Dawid, 2008. Applied Mathematics and Computation 204 (2), 541-552.
eurace.group.shef.ac.uk
EURACE Examples
http://eurace.group.shef.ac.uk/examples.html
At the University of Sheffield. Using agent based modelling allows researchers to explore how the interactions of the agents influences the macro variables such as average prices, unemployments in a closed economic system. It also allows us to explore every agent individually taking analysis to even minute details which may be causing an affect on a larger scale on the whole system. This gives a better understanding of the inner working of complex systems very close to reality.