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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); 20040527-29; Kyoto University(JP) >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：使用基于混合代理的系统为汽油市场建模

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摘要

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：油价市场是一个高度敏感和竞争激烈的市场，其许多过程在不同的时空尺度上组合在一起，从而影响每个加油站的价格。为表示汽油和变量之间的关系而开发的先前模型是经验和数学模型。这些问题有很多问题，主要是：参数都在相同的范围内（以“微观”水平执行的行为与诸如油价之类的“全局”水平变量无关）；这些参数通常难以估计且缺乏现实性；很少考虑（如果有的话）任何地理影响，最后，数学模型就其性质而言仅考虑定量参数，因此错过了定性的行为信息。本文中的工作提出了一系列三个多主体和混合模型，旨在纠正其中的一些问题。这些模型是行为模型，并在个人规模上发挥作用。结果表明，这是一种对动态地理系统建模的有前途的方法。

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