Models
Network for Agent-based modelling of Socio-ecological Systems in Archaeology
I collaborate with the NASSA project (Network for Agent-based modelling of Socio-ecological Systems in Archaeology). If you want to know more, here you have information about the project. You can find the list of modules here.
Developing best practices for an open library of archaeological ABM modules: lessons learned from other initiatives. Presentation for the session 367 "Agent-based Modelling of Socio-ecological Systems in Archaeology. Towards a New Research Community" at the EAA 2022 “[Re]integration” conference in Budapest (31 August - 3 September 2022)
Random walk in data frames (in R)
Cooperation Under Resources Pressure (CURP)
Cooperation Under Resources Pressure (CURP) is an agent-based model designed to explore the evolution of cooperation under different resources scenarios that condition individual needs for survival. The model is a very stylised abstraction, where resources pressure is modelled by a stochastic process of acquiring resources (i.e. prob-resource) and by a parameter of the minimal proportion of the resource unit necessary for survival (i.e. min-energy). The model offers different insights about how the resources pressure can change the cooperative behaviour of any group of individuals, although we have a particular interest in the evolution of sharing practices in HG societies.
https://www.openabm.org/model/5287/version/2/view
Quality uncertainty and market failure model
An interactive simulation game specially designed to teach the market effects of quality uncertainty
https://www.openabm.org/model/4214/version/4/view
WWHW Wave When the Hale Wale 2.0 model
An agent-based model designed to explore the development of cooperation in hunter-fisher-gatherer societies that face a dilemma of sharing an unpredictable resource that is randomly distributed in space.
https://www.openabm.org/model/4249/version/1/view
AEYGrid Axtell, Epstein and Young bargaining model in grids
This is an agent-based model of bargaining in regular lattices based on the original tag model proposed by Axtell et al.
https://www.openabm.org/model/5425/version/1/view
Luis Izquierdo and I implemented this agent-based model in RePast to replicate and extend Prof. Axelrod's model of metanorms. The applet was included as Appendix A in the paper Galan, J.M. and Izquierdo, L.R. (2005).
In this website you can find supplementary material to this work:
http://www.insisoc.org/metanorms/
RAEAN-NET (Reimplementation of Axelrod's "Evolutionary Approach to Norms" on networks)
Based on RAEAN, and working together with Maciej M. Łatek and Seyed M. Mussavi Rizi, we extended the Prof. Axelrod's model of metanorms to be played on different network topologies. The source code of our work can be found here
We used RePast and JUNG libraries
Artificial Stock Market
When Luis and I were students (2002), we implemented the Santa Fe Artificial Stock Market in Javaswarm. We have not worked since then in financial agent based modelling so surely there are versions more updated than ours but, just in case it might be useful, you can find it in the repository about ASM mantained by Paul Johnson