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2007, vol. 12, br. 3-4, str. 63-66
Multiagent approach and artificial neural networks in economic simulations
(naslov ne postoji na srpskom)
aUniversity of Economics, The Faculty of Economic Informatics, Bratislava, Slovakia
bDepartment of Economics and Management, FEI STU Bratislava, Slovakia
Ključne reči: economic simulation; artificial intelligence; multi-agent approach; artificial neural network
Sažetak
(ne postoji na srpskom)
In this article we will focus on the use of methods of artificial intelligence in process of creation of economic models. We gradually analyze chosen methods of artificial intelligence as multi-agent approaches and artificial neural networks. In more detailed view we concern especially on homogenous and heterogeneous autonomous agent based systems, perceptron artificial neural networks with back-propagation error and self-organizing maps. We try to analyze their properties, main characteristics of given approaches and methods and suitability for simulation of economic processes.
Reference
Axtell, R. (2000) Why agents?: On the varied motivations for agent computing in the social sciences. Washington DC: Center on Social and Economic Dynamics
Davidson, P. (2002) Agent based social simulation: A computer science view. JASS, 5 (1)
Gibbney, M.J., i dr. (1999) Market-based call routing. u: Networks Symposium, Manchester, UK
Kohonen, T. (1990) The self-organizing map. Proceedings of the IEEE, Vol. 78, pp. 1464-1480
Negnevitsky, M. (2005) Artificial intelligence: A guide to intelligent systems. Reading, MA, itd: Addison-Wesley
Rosenblatt, F. (1958) The perceptron: A probabilistic model for information storage and organization in the brain. Psychol Rev, 65(6): 386-408
Sekaj, I. (2005) Evolučné výpočty a ich použitie v praxi. IRIS
 

O članku

jezik rada: engleski
vrsta rada: neklasifikovan
objavljen u SCIndeksu: 16.06.2008.

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