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

机译:制图约束求解多级多代理模型中交互的表示

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摘要

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:制图概括的目的是简化地理数据,以便在规模减少时创建清晰的映射。它通常需要在不同层次的抽象层次(例如,建筑物,一个城市)。为自动化此过程,多年来使用了多代理方法。地图对象(例如,Buildings)被建模为自动实体,该实体尝试通过适当的转换解决约束。然而,这些方法无法处理地图中的制图对象之间出现的所有情况。实际上,虽然地图本质上涉及属于若干描述,比例或组织级别的对象,但基于代理的制图模型中没有明确的多级表示。因此,我们假设使用多级多代理模型将改善自动泛化过程。特别是,Padawan模型是一种多代理模型,提供多级功能,其符合多级组织的制图对象的要求。在本文中,我们公开了我们一方面如何使用该模型,以重新制图代理之间的多级关系,另一方面,代表所提出的限制和所提出的动作,作为代理之间的相互作用。

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