一种模型-视图/控制器方法,支持基于agent的仿真的可视化和在线数据分析

A. Grignard, A. Drogoul, Jean-Daniel Zucker
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引用次数: 8

摘要

基于智能体的建模在越来越多的复杂系统建模方法中发挥着关键作用。从历史上看,这样的模型专注于描述系统建模的动力学,而不是模型本身的交互或可视化。对ABM仿真的高级逼真可视化和在线分析工具的新要求提出了尚未解决的关键问题:如何可视化实体之间的交互以及更普遍地从系统动力学中抽象关键信息。我们提出了一种致力于可视化和发现模型中新出现的动态的方法,而不是需要在模型中具体化的特定现有方法。在这种方法中,仿真的执行和表示是分离的,构建可视化就像在参考模型之上构建可视化模型一样。本文介绍的技术已经在基于代理的仿真平台gamma中实现,并说明了基于代理的建模中可视化的新视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model-view/controller approach to support visualization and online data analysis of Agent-based simulations
Agent-based Modeling is playing a key role in an increasing number of approaches addressing modeling complex systems. Historically, such models were focused on describing the system modelled dynamics but not the interaction or visualization of the model itself. The new requirements for high-level realistic visualization and online analysis tools of ABM simulations raise key issues that are yet unsolved: how to visualize interaction between entities and more generally abstracting the key information from the system dynamics. Instead of ad-hoc existing approaches that require reification in the model, we propose an approach dedicated to visualize and discover emerging dynamics from the model. In this approach, the execution of the simulation and its representation is separated and building a visualization is like building a visualization model on top of the reference model. The techniques presented here have been implemented in an Agent-based simulation platform, Gama, and illustrate the new perspective on visualization in Agent-based Modeling.
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