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Project DANA: multiagent simulation and fuzzy rules for international crisis detection--can we forestall wars?

机译:项目达纳:国际危机检测的多元模拟和模糊规则 - 我们可以防止战争吗?

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Assessing the conflicting potential of an international situation is very important in the exercise of Defence duty. Mastering a formal method allowing the detection of risky situations is a necessity. Our aim was to develop a highly operational method twinned with a computer simulation tool which can explore a huge number of potential war zones, and can test many hypotheses with high accuracy within reasonable time. We use a multi-agents system to describe an international situation. The agent coding allows us to give computer existence to very abstract concepts such as: a government, the economy, the armed forces, the foreign policy... We give to these agents fuzzy rules of behavior, those rules represent human expertise. In order to yardstick our model we used the Falklands war to make our first simulations. The main distortion between the historical reality and our simulations comes from our fuzzy controller which causes a great loss of information. We are going to change it to a more efficient one in order to fit the historical reality. Agent coding with fuzzy rules allows human experts to keep close to their statements and expertise, and they can handle this kind of tool quite easily.
机译:评估国际形势的矛盾潜力在行使防御义务方面非常重要。掌握允许检测风险情况的正式方法是必需品。我们的目的是开发一种高度操作的方法,具有一款电脑仿真工具,可以探索大量的潜在战区,并且可以在合理的时间内以高精度测试许多假设。我们使用多代理系统来描述国际形势。代理人编码使我们能够将计算机存在于非常抽象的概念,如:政府,经济,武装部队,外交政策......我们向这些代理商提供模糊的行为规则,这些规则代表人类专业知识。为了衡量我们的模型,我们使用福克兰斯战争来实现我们的第一次模拟。历史现实与我们的模拟之间的主要扭曲来自我们的模糊控制器,导致信息损失。我们将把它更改为更有效的人,以适应历史现实。使用模糊规则的代理编码允许人员遵守其陈述和专业知识,并且他们可以很容易地处理这种工具。

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