Agent-oriented modelling for simulation of complex environments

I. Shvartsman, K. Taveter, Merle Parmak, M. Meriste
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引用次数: 11

Abstract

This article addresses the application of agent-oriented modelling to composing scenarios for simulating problem domains consisting of heterogeneous entities that include humans, physical subsystems, and software components whose behaviours depend on the situation at hand. The article presents an overview of agent-oriented modelling and addresses the application of agent-oriented modelling and simulation for context-aware crisis management and military urban operations. We develop an approach for constructing vignettes of situation-aware behaviour to be further simulated by means of software agents and describe the creation of practical context-aware training scenarios. Finally, the article explores a platform currently in use for possible execution of agent-based simulations. Our approach is applicable in practice for testing typical behavioural vignettes in specific scenarios using the platform. Unique benefit of the proposed approach is its usability to observe how real subjects form their decisions to behave in certain situations.
面向主体的复杂环境仿真建模
本文讨论了面向代理的建模在组合场景中的应用,用于模拟由异构实体组成的问题域,这些实体包括人、物理子系统和软件组件,其行为依赖于手头的情况。本文概述了面向智能体的建模,并讨论了面向智能体的建模和仿真在上下文感知危机管理和军事城市作战中的应用。我们开发了一种方法来构建情景感知行为的小片段,通过软件代理进一步模拟,并描述了实际情景感知训练场景的创建。最后,本文探讨了当前用于可能执行基于代理的模拟的平台。我们的方法在实践中适用于使用平台在特定场景中测试典型的行为小插曲。所提出的方法的独特好处是它的可用性,以观察真实的主体如何形成他们的决定在某些情况下的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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