Exploring behavioral regions in agents’ mental maps
Exploring behavioral regions in agents’ mental maps
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探索代理人心理地图中的行为区域
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
P. Torrens
中科院分区：
文献类型：
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作者：
P. Torrens
基于代理的模型在区域科学探究的个体尺度上继续变得更加复杂，但仍然很难以松散的方式将这些模型中个体行为的复杂性与区域现象和过程结合起来，从而使尺度之间的解释路径变得相当松弛。在本文中，我们提出了一种在模拟中弥合个体机构与该机构的区域结果之间差距的机制。我们使用代理在模拟中对其周围环境进行非常丰富的行为理解。然后，我们扫描代理在确定如何执行其转换规则时生成的信息，使用挖掘代理状态的方案来生成其动态的各个方面的心智图。根据智能体的思维地图，我们将区域定义和可视化为地理区域，这些地理区域是根据智能体可以提供的独特的、自主的、本地的和个人的洞察力而产生的。我们展示了该方案的实用性，适用于室内运动场景，在这些场景中，在智能体彼此及其周围环境的交互中形成短暂的区域。我们的方法可以扩展到这些应用之外，并且可以更广泛地用于区域科学中的其他探索场景。
Agent-based models continue to grow more sophisticated at the individual scale of regional science inquiry, but it remains difficult to ally the intricacies of individual behavior in those models to regional phenomena and processes in anything but a loose fashion, leaving explanatory pathways between the scales quite slack. In this paper, we present a mechanism for bridging the gap between individual agency and regional outcomes of that agency in simulation. We use agents to develop very rich behavioral understanding of their surroundings in simulation. We then sweep through the information that agents generate when determining how to execute their transition rules, using schemes that mine agent states to produce mental maps of varied aspects of their dynamics. From agents’ mental maps, we define and visualize regions as geographies that are conjured from the unique, autonomous, local, and personal insight that agents can provide. We demonstrate the utility of the scheme, with application to indoor movement scenarios in which fleeting regions form amid agents interactions with each other and their built surroundings. Our approach is extensible beyond these applications and could be of broader use for other explorative scenarios in regional science.