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2015 | OriginalPaper | Buchkapitel

Economic Demand Functions in Simulation: Agent-Based Vs. Monte Carlo Approach

verfasst von : Roman Šperka

Erschienen in: Agent and Multi-Agent Systems: Technologies and Applications

Verlag: Springer International Publishing

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Abstract

The aim of this paper is to compare an agent-based and Monte Carlo simulation of microeconomic demand functions. Marshallian demand function and Cobb-Douglas utility function are used in simulation experiments. The overall idea is to use these function as a core element in a seller-to-customer price negotiation in a trading company. Furthermore, formal model of negotiation is proposed and implemented to support the trading processes. The paper firstly presents some of the principles of agent-based and Monte Carlo simulation techniques, and demand function theory. Secondly, we present a formal model of demand functions negotiations. Lastly, we depict some of the simulation results in trading processes throughout one year of selling commodities to the consumers. The results obtained show that agent-based method is more suitable than Monte Carlo, and the demand functions could be used to predict the trading results of a company in some metrics.

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Ratio of the same utility, consuming the commodities – Cobb-Douglas utility function.

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Titel: Economic Demand Functions in Simulation: Agent-Based Vs. Monte Carlo Approach
verfasst von: Roman Šperka
Verlag: Springer International Publishing
Buch: Agent and Multi-Agent Systems: Technologies and Applications
Print ISBN: 978-3-319-19727-2

Electronic ISBN: 978-3-319-19728-9

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19728-9_12

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