Sawa Koji, Gunji Yukio-Pegio
The Senior High School, Japan Women's University, Tama, Kawasaki 214-8565, Japan.
Biosystems. 2007 Nov-Dec;90(3):783-91. doi: 10.1016/j.biosystems.2007.04.001. Epub 2007 Apr 21.
We propose a dialogue-based society model which explains how the transitive law of the causality is originated. Causality is, in general, formalized by using axiomatic approaches. Instead of using axiomatic methods, we, however, compose a model consisting of agents who have knowledge about causal relations among objects. The model society can reveal the transitive law through interactional dialogues among themselves. The agents are reciprocally influenced, if they have either completely same opinions, or a particular pattern of opinions, that are regarded as the extension of such exact accordance. In addition, we add some vagueness to the dialogue, which is closer to a real communication than the former model. A set of knowledge of each agent is expressed as a directed graph, hence the every model can be construed as mere transformations of directed graphs through the interactions among directed graphs themselves. Following this perspective, the models are the systems that connect local logic with global one, while the union of the directed graphs is regarded as the global.
我们提出了一种基于对话的社会模型，该模型解释了因果关系的传递律是如何产生的。一般来说，因果关系是通过公理方法形式化的。然而，我们不是使用公理方法，而是构建一个由对对象之间因果关系有知识的主体组成的模型。模型社会可以通过自身之间的互动对话揭示传递律。如果主体有完全相同的意见，或者有被视为这种精确一致的延伸的特定意见模式，它们就会相互影响。此外，我们给对话增加了一些模糊性，这比以前的模型更接近真实的交流。每个主体的一组知识被表示为一个有向图，因此每个模型都可以被解释为仅仅是有向图通过自身之间的相互作用而进行的变换。按照这个观点，模型是将局部逻辑与全局逻辑联系起来的系统，而有向图的并集被视为全局。
