同样的, Bramson, Cox 和 Le Gall(1998) 等利用 Brownian snake 当工具以研究投票模型(Voter model)的一些极限性质。 在此计划里, 我们首先将研究 Le Gall 和 Le Jan 最近有关 Brownian snake 的 重要工作。
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本文的贡献乃在提出一个整合的投票模型以便同时测试不同的投票理论。
This contribution of the study is to propose a jointed voting model to test different voting theories simultaneously.
然而在投票模型中,个人与国家的经济评估并不是主要影响投票抉择的因素。
In the multinomial voting model, the economic evaluation that affects the voting choices is not the main factor.
这种服务器端机制使用基于投票系统的自主学习模型。
This server-side mechanism USES a self-learning model based on a voting system.
We're not going to have time to do them in this course, but if you take a class in the Political Science department on voting and on elections, on modeling elections, you will see that both of these have been modeled and discussed in great detail.
我们在这门课上就不去探讨它们了,但是如果你们选修了政治学专业的,有关投票与选举模型的课程的话,你们会发现这两个因素都可以模型化,而且都会有非常详细的介绍
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