首页> 外文会议>International workshop on multi-agent-based simulation >The NeeIn this paper we argue that simulating complex systems involving human behaviour requires agent rules based on a theoretically rooted structure that captures basic behavioural processes. Essential components of such a structure involve needs,
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The NeeIn this paper we argue that simulating complex systems involving human behaviour requires agent rules based on a theoretically rooted structure that captures basic behavioural processes. Essential components of such a structure involve needs,

机译:Neein本文认为,模拟涉及人类行为的复杂系统需要基于理论根结构的代理规则,以捕获基本行为过程。这种结构的基本组成部分涉及需求,

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In this paper we argue that simulating complex Systems involving human behaviour requires agent rules based on a theoretically rooted structure that captures basic behavioural processes. Essential components of such a structure involve needs, decision-making processes and learning. Such a structure should be based on state-of-the-art behavioural theories and validated on the micro-level using experimental or field data of individual behaviour. We provide some experiences we had working with such a structure, which involve the possibility to relate the results of simulations on different topics, the ease of building in extra factors for specific research questions and the possibility to use empirical data in calibrating the model. A disadvantage we experienced is the lack of suiting empirical data, which necessitates in our view the combined use of empirical and simulation research.
机译:在本文中,我们认为模拟涉及人类行为的复杂系统需要基于理论根结构的代理规则,以捕获基本行为过程。这种结构的基本组成部分涉及需求,决策过程和学习。这种结构应基于最先进的行为理论,并使用各个行为的实验或现场数据在微级上验证。我们提供了一些我们使用这种结构的经验,这涉及在不同主题上涉及模拟结果,额外因素的易于建立的可能性以及在校准模型中使用经验数据的可能性。缺点我们经历的是缺乏诉讼的经验数据,这需要我们观察综合使用实证和模拟研究。

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