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Representation of Interactions in a Multi-Level Multi-Agent Model for Cartography Constraint Solving

机译:制图约束求解的多层次多Agent模型中交互的表示

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The objective of cartographic generalisation is to simplify geographic data in order to create legible maps when scale decreases. It often requires to reason at different levels of abstraction (e.g. a building, a city). To automate this process, Multi-Agent approaches have been used for several years. Map objects (e.g. buildings) are modelled as autonomous entities that try to solve constraints through appropriate transformations. Yet, those approaches are not able to deal with all situations that appear between cartographic objects in a map. Indeed, though a map intrinsically involves objects that belong to several description, scale or organisation levels, there is no explicit multi-level representation in agent-based cartographic models. Thus we assume that the use of a multi-level multi-agent model would improve the automated generalisation process. Especially, the PADAWAN model is a multi-agent model offering multi-level capabilities which meet quite well the requirements for the multi-level organisation of cartographic objects. In this paper, we expose how we use this model on the one hand, to reify multi-level relations between cartographic agents, and on the other hand, to represent the constraints and the actions proposed to solve them, as interactions between the agents.
机译:制图一般化的目的是简化地理数据,以便在比例尺减小时创建清晰的地图。它通常需要在不同的抽象级别(例如,建筑物,城市)进行推理。为了使这一过程自动化,多代理方法已经使用了几年。地图对象(例如建筑物)被建模为自治实体,它们试图通过适当的变换来解决约束。但是,这些方法无法处理地图中制图对象之间出现的所有情况。实际上,尽管地图本质上涉及属于多个描述,比例或组织级别的对象,但是在基于代理的制图模型中没有明确的多级表示形式。因此,我们假设使用多级多主体模型将改善自动化的泛化过程。特别是,PADAWAN模型是一种多代理程序模型,它提供了多级功能,可以很好地满足制图对象多级组织的要求。在本文中,我们一方面展示了如何使用此模型来验证制图代理商之间的多层次关系,另一方面又以代理商之间的相互作用来表示约束和提出的解决方案。

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