Simulation Tools for Social Scientists: Building Agent Based Models with SWARM
AbstractSocial scientists are not computer scientists, but their skills in the field have to become better and better to cope with the growing field of social simulation and agent based modelling techniques. A way to reduce the weight of software development is to employ generalised agent development tools, accepting both the boundaries necessarily existing in the various packages and the subtle and dangerous differences existing in the concept of agent in computer science, artificial intelligence and social sciences. The choice of tools based on the object oriented paradigm that offer libraries of functions and graphic widgets is a good compromise. A product with this kind of capability is Swarm, developed at the Santa Fe Institute and freely available, under the terms of the GNU license. A small example of a model developed in Swarm is introduced, in order to show directly the possibilities arising from the use of these techniques, both as software libraries and methodological guidelines. With simple agents - interacting in a Swarm context to solve both memory and time simulation problems - we observe the emergence of chaotic sequences of transaction prices.
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Bibliographic InfoArticle provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.
Volume (Year): 1 (1998)
Issue (Month): 2 ()
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Agent Based Models (ABM); Chaos; Intelligent Agents; Social Simulation; Swarm;
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- Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind and Society: Cognitive Studies in Economics and Social Sciences, Fondazione Rosselli, vol. 1(1), pages 57-72, March.
- Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
- Lamieri, Marco & Bertacchini, Enrico, 2006. "What if Hayek goes shopping in the bazaar?," MPRA Paper 367, University Library of Munich, Germany, revised 21 Jun 2006.
- Giovanni Rabino & Alberto Girotti, 2004. "Ontology of multi-agents processes of spatial decision," ERSA conference papers ersa04p142, European Regional Science Association.
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