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首页> 外文会议>International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004(AESCS'04) >The Use of Hybrid Agent Based Systems to Model Petrol Markets
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The Use of Hybrid Agent Based Systems to Model Petrol Markets

机译：使用基于混合剂的系统来模拟汽油市场

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The petrol price market is a highly sensitive and competitive market with many processes combining at different temporal and spatial scales to affect each petrol station's prices. Previous models developed to represent the relationship between petrol and a variable are empirical and mathematical. These suffer from a number of problems, chiefly: the parameters are all on the same scale (behaviours executed at the 'micro' level are not tied to 'global' level variables like oil prices); the parameters are often difficult to estimate and lack realism; very little, if any, account of any geographical effects is taken, and, finally, mathematical models by their nature only consider quantitative parameters and therefore miss out on qualitative, behavioural information. The work within this paper presents a series of three multi-agent and hybrid models that seek to rectify some of these problems. The models are behavioural and work at the scale of the individual. The results show that this is a promising method for modelling dynamic, geographical systems.
机译：汽油价格市场是一个高度敏感和竞争激烈的市场，在不同的时间和空间尺度上结合了许多过程，以影响每个汽油站的价格。以前开发的模型代表了汽油和变量之间的关系是经验和数学的。这些患有许多问题，主要是：参数全部在相同的比例（在“微”水平上执行的行为没有与油价等“全球”级别变量相关联）;参数往往难以估计和缺乏现实主义;如果有的话，如果有任何地理效果的说明，最后，他们的性质的数学模型只考虑定量参数，因此错过了定性，行为信息。本文中的工作介绍了一系列三种多功能和混合模型，可以纠正一些问题。该模型是行为和在个人的规模上工作。结果表明，这是一种建模动态地理系统的有希望的方法。

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