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Agent-Based Evolutionary Method of Simulation the Co2 Emission Permits Market


[1] Alkemade F., La Poutre H., Amman H. M. Robust Evolutionary Algorithm Design for Socio-economic Simulation, Computational Economics 28, 2006, pp. 355-470.10.1007/s10614-006-9051-5Search in Google Scholar

[2] Bartoszczuk P., Horabik J. Tradable Permit Systems: Considering Uncertainty in Emission Estimates, Water Air Soil Pollution: Focus (2007) 7, , Springer Verlag, 2007, pp 573-579.10.1007/s11267-006-9110-xSearch in Google Scholar

[3] Bonatti M., Ermoliev Y., Gaivoronski A. Modeling of multi-agent market systems in the presence of uncertainty: The case of information economy, Robotics andAutonomous Systems, Vol. 24, Issue 3-4, 1998, pp. 93-113.10.1016/S0921-8890(98)00025-6Search in Google Scholar

[4] Cichosz P. Systemy uczące się (Learning systems; in Polish), WNT, Warszawa, 2000.Search in Google Scholar

[5] Clemens C., Riechmann T. Evolutionary Dynamics in Public Good Games, Computational Economics, 28, 2006, pp. 399-420.10.1007/s10614-006-9044-4Search in Google Scholar

[6] Ermoliev Y., Klaassen G., Nentjes A. Adaptive cost-effective ambient charges under incomplete information, Journal of Environmental Economics and Management, 31, 1996, pp. 37-48.10.1006/jeem.1996.0030Search in Google Scholar

[7] Ermoliev Y., Michalevich M., Nentjes A. Markets for Tradable Emission and Ambient Permits: A dynamic approach, Environmental and Resource Economics, 15, 2000, pp. 39-56.10.1023/A:1008369611378Search in Google Scholar

[8] Godal O. Simulating the Carbon Permit Market with Imperfect Observations of Emissions: Approaching Equilibrium through Sequential Bilateral Trade, InterimReport IR-00-060, IIASA, Laxenburg, Austria, 2000.Search in Google Scholar

[9] Horabik J. On the costs of reducing GHG emissions and its underlying uncertainties in the context of carbon trading, Raport Badawczy RB/34/2005, IBS PAN, 2005.Search in Google Scholar

[10] Klaasen G., Nentjes A., Smith M. Testing the dynamic theory of emissions trading: Experimental evidence for global carbon trading, Interim Report IR-01-063, IIASA, Laxenburg, Austria, 2001.Search in Google Scholar

[11] Klaasen G., Matrosov I., Roehrl A., Tarasyev A. A Game-Dynamic Model of Gas Transportation Routes and Its Application to the Turkish Gas Market, Interim ReportIR-03-018, IIASA, Laxenburg, Austria, 2003.Search in Google Scholar

[12] Mutlu F., Fescioglu-Unver N. Agent Based Simulation of Carbon Emissions Trading Market, Proceedings of PICMET '11 (Technology Management in the Energy SmartWorld), 2011, pp. 1-10.Search in Google Scholar

[13] Nahorski Z., Horabik J., Jonas M. Compliance and emissions trading under the Kyoto protocol; Rules for Uncertain Inventories, Water, Air, & Soil Pollution: Focus, Vol. 7, Numbers 4-5, Springer Verlag, 2007, pp. 539-558.10.1007/s11267-006-9112-8Search in Google Scholar

[14] Stańczak J. Evolutionary algorithm for market simulations, Evolutionary Computationand Global Optimization 2009, Prace Naukowe PW, Elektronika, z. 169, Warszawa, 2009, pp. 163-172.Search in Google Scholar

[15] Stańczak J. Application of an evolutionary algorithm to simulation of the CO2 emission permits market with purchase prices, Badania operacyjne i decyzje, 4, 2009, pp. 93-108.Search in Google Scholar

[16] Stańczak J., Bartoszczuk P. CO2 emission trading model with trading prices, ClimaticChange, 103 (1-2), 2010, pp. 291-301. 10.1007/s10584-010-9905-7Search in Google Scholar

Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Artificial Intelligence, Software Development