Volume 2, Issue 5, October 2013, Page: 87-93
Algorithms for Trade Modeling with Agent-Based Systems
Monica Dascalu, Politehnica University of Bucharest, Romania
Lucian Milea, Solaris Consult S.R.L., Bucharest, Romania
Gabriela Ivanus, Politehnica University of Bucharest, Romania
Mihail Teodorescu, Research Institute for Artificial Intelligence, Bucuresti, Romania
Eduard Franti, Research Institute for Artificial Intelligence, Bucuresti, Romania
Received: Oct. 7, 2013;       Published: Oct. 30, 2013
DOI: 10.11648/j.ijiis.20130205.13      View  2667      Downloads  79
Abstract
This paper presents a set of algorithms for trade modeling with cellular automata (CA). The cellular automata simulator developed for this purpose has allowed the study of phenomena that occur within groups of agents that operate in a dynamic resource field. With this cellular automata simulator algorithms have been developed and tested for clustering of agents in agencies and for studying phenomena within agencies. It was thus evident that within agencies the agents try to group in the neighborhood of leading and rich agents with high performance, in order to learn from them the best rules. In terms of hierarchy, the results show that the places in the immediate neighborhood of the agents with leading positions can be occupied only by agents with wealth.
Keywords
Cellular Automata, Agent-Based Systems, Trade Modeling
To cite this article
Monica Dascalu, Lucian Milea, Gabriela Ivanus, Mihail Teodorescu, Eduard Franti, Algorithms for Trade Modeling with Agent-Based Systems, International Journal of Intelligent Information Systems. Vol. 2, No. 5, 2013, pp. 87-93. doi: 10.11648/j.ijiis.20130205.13
Reference
[1]
R. J. Brooks, and D. Shi. "The calibration of agent based simulation models and their use for prediction". In S. Robinson et al., editors, Proceedings of the 2006 OR Society Simulation Workshop (SW06). Warwick, UK.
[2]
Axelrod, R. "On six advances in cooperation theory. Analyse & Kritik", 22, 130-151 (2000).
[3]
Engelen, G., R. White, I. Uljee, and P. Drazan, "Using Cellular Automata for Integrated Modelling of Socio-environmental Systems", Environmental Monitoring and Assessment, 30, 203-214, 2005.
[4]
Miller, R.E. and P.D. Blair, "Input-Output Analysis: Foundations and Extensions", Cambridge University Press, New York, 2009.
[5]
R.U. Ayres, "The minimum complexity of endogenous growth models: the role of physical resource flows", Energy, 26(9), 817-838, 2008.
[6]
P.O. Siebers, U. Aickelin, H. Celia, and C. W.Clegg. "A multi-agent simulation of retail management practices" in Proceedings of the 2007 Summer Computer Simulation Conference (SCSC2007). San Diego, USA.,
[7]
M. López-Sánchez, X. Noria, J. A. Rodríquez, N. Gilbert, S. Shuster, "Multi Agent Simulation Applied to On-line Music Distribution Market", Proceedings of the 4th International Conference on Web Delivering of Music, WEDELMUSIC 2004, Barcelona, 13th-14th September 2004. Pp 151-154. IEEE Computer Society. 2004
[8]
Carlsson, B., Acs, Z. J., Audretsch, D. B., Braunerhjelm, P. (2009). "Knowledge Creation, Entrepreneurship, and Economic Growth", DRUID conference, Copenhagen, June 18-20, 2006 (6 ed., vol. 18, pp. 1193-1229). Industrial & Corporate Change.
[9]
Carlsson, B. (2011). In D.B. Audretsch, O. Falck, S. Heblich and A. Lederer (Ed.), "New Knowledge: The Driving Force of Innovation, Entrepreneurship, and Economic Development" (pp. 214-228). Cheltenham: Edward Elgar.
[10]
Acs, Z. J., Braunerhjelm, P., Audretsch, D. B., Carlsson, B. (2010). In Zoltan J. Acs (Ed.), "The Knowledge Spillover Theory of Entrepreneurship" (pp. 137-152). Cheltenham: Edward Elgar.
[11]
F. Simon, and J.-C. Usunier. "Cognitive, demographic and situational determinants of service customer preference for personnel-in contact over self-service technology". International Journal of Research in Marketing, 24(2):163-173, 2007.
[12]
P.O. Siebers, U. Aickelin, H. Celia, and C. W. Clegg. "Using intelligent agents to understand management practices and retail productivity". In S. G. Henderson et al., editors, Proceedings of the 2007 Winter Simulation Conference (WSC2007). Washington D.C., USA, forthcoming.
[13]
P.O. Siebers. "Worker performance modeling in manufacturing systems simulation: proposal for an agent-based approach" in J. P. Rennard, editor, Handbook of Research on Nature Inspired Computing for Economics and Management, Idea Group Publishing, 2006.
[14]
Frank, Kenneth A, Yasumoto, Jeffrey Y., Linking action to social structure within a system: social capital within and between subgroups, The American Journal of Sociology [AJS], 104(3), 642 - 86.
[15]
Nelson, R.R. and S. Winter, "An evolutionary theory of economic change", Harvard University Press, Cambridge University MA, 2006.
[16]
J.E. Reynolds, D. Howard, B.Dragun, B.Rosewell, and P. Ormerod, "Assessing the productivity of the UK retail sector. International Review of Retail, Distribution and Consumer Research", 15:237-280, 2005.
[17]
S. Broadberry, and M. O’Mahony, "Britain’s productivity gap with the United States and Europe: A historical perspective", National Institute of Economic Review, 189(1):72-85, 2004.
[18]
R. Griffith, and H. Harmgart, "Retail productivity",.International Review of Retail, Distribution and Consumer Research, 15(3):281-290, 2005.
Browse journals by subject