Abstract
We propose SLAPP, or Swarm-Like Agent Protocol in Python, as a simplified application of the original Swarm protocol, choosing Python as a simultaneously simple and complete object-oriented framework. With SLAPP we develop two test models in the Agent-Based Models (ABM) perspective, building both an artificial world related to an imaginary situation with stylized chameleons and an artificial world related to the actual important issue of interbank payment and liquidity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anderson, P.W. (1972), More is different. Science, 177, 4047, pp. 393–396
Arciero L., Biancotti C., D’Aurizio L. and Impenna C. (2009), Exploring agent-based methods for the analysis of payment systems: a crisis model for StarLogo TNG. Journal of Artificial Societies and Social Simulation, http://jasss.soc.surrey.ac.uk/12/1/2.html
Axelrod R. and Tesfatsion L. (2005), A guide for newcomers to agent-based modeling in the social sciences. In K.L. Judd and L. Tesfatsion (eds.), Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, pp. 1647–1658, Amsterdam, North-Holland. On line at http://www.econ.iastate.edu/tesfatsi/GuidetoABM.pdf
Axtell R. (2000), Why Agents? On the Varied Motivations for Agent Computing in the Social Sciences. In Proceedings of the Workshop on Agent Simulation: Applications, Models and Tools, Chicago, Argonne National Laboratory. On line at http://www.brookings.edu/~/media/ Files/rc/reports/2000/11technology_axtell/agents.pdf
Bainbridge W.S. (2007), The Scientific Research Potential of Virtual Worlds. Science, 317, pp. 472–476
Epstein J. and Axtell R. (1994), Agent-Based Modeling: Understanding Our Creations, The Bulletin of The Santa Fe Institute, (Winter, 1994)
Gilbert N. and Terna P. (2000), How to build and use agent-based models in social science, Mind & Society, 1, 1, pp. 57–72
Isaac A.G. (2008), Simulating Evolutionary Games: A Python-Based Introduction. Journal of Artificial Societies and Social Simulation, 11, 3. http://jasss.soc.surrey.ac.uk/11/3/8.html
Langton C. and Swarm development team (1996?), Santa Fe Institute, SimpleBug tutorial, on line at http://ftp.swarm.org/pub/swarm/apps/objc/sdg/swarmapps-objc-2.2-3.tar.gz
Lave C.A. and March J.G. (1975), An introduction to models in the social sciences. New York, Harper & Row.
Minar N., Burkhart R., Langton C. and Askenazi M. (1996), The Swarm simulation system: A toolkit for building multi-agent simulations. Working Paper 96-06-042, Santa Fe Institute, http://www.swarm.org/images/b/bb/MinarEtAl96.pdf
Ostrom, T. (1988), Computer simulation: the third symbol system. Journal of Experimental Social Psychology, n. 24, pp. 381–392
C. J. Staelin (2000), jSIMPLEBUG, a Swarm tutorial for Java, (2000), at http://www.cse.nd. edu/courses/cse498j/www/Resources/jsimplebug11.pdf, only text, or http://eco83.econ.unito. it/swarm/materiale/jtutorial/JavaTutorial.zip, text and code
Sun R. (ed.) (2006), Prolegomena to Integrating Cognitive Modeling and Social Simulation. In R. Sun, Cognition and Multi-Agent Interaction — From Cognitive Modeling to Social Simulation, Cambridge, Cambridge University Press
Sutton R.S., Barto A.G. (1998), Reinforcement Learning: An Introduction. Cambridge MA, MIT Press
Terna P. (2007), implementation of the SWARM protocol using Python, at http://eco83.econ. unito.it/terna/slapp
Villani M. (2006), Networks and Complex Systems. In M. Villani (ed.) (2006), Educating managers in complexity, pp. 41–119, Roma, Aracne
Weinberg S. (2002), Is the Universe a Computer? The New York Review of Books, 49, 16. http://www.nybooks.com/articles/15762
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Italia
About this paper
Cite this paper
Terna, P. (2010). A New Agent-based Tool to Build Artificial Worlds. In: Faggini, M., Vinci, C.P. (eds) Decision Theory and Choices: a Complexity Approach. New Economic Windows. Springer, Milano. https://doi.org/10.1007/978-88-470-1778-8_4
Download citation
DOI: https://doi.org/10.1007/978-88-470-1778-8_4
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-1777-1
Online ISBN: 978-88-470-1778-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)