基于Agent模型的生态公平指数构建与模拟

伴随着社会经济的发展,社会公平逐渐成为热点话题。社会公平问题不但体现在社会现象上,还对生态系统起着重要的影响。通过构建资本交换自主体模型,模拟社会财富分配动态过程,可观测资本交换熵指数变化情况,从而解释熵增原理。除此以外,不同系统的最终状态能达到的最大熵指数不同,用熵增原理与本文构建的最大熵指数模型可以对系统的生态公平进行纵向或横向评价。构建的资本交换熵模型也可以证明最大熵原理,同时,财富集中的现象将会使生态环境的选择权完全交予富人群体,影响可持续发展。

Construction of Ecological Justice Indexes and simulation based on Agent-Based Models

With socioeconomic development, social justice has gradually become a focus topic. Not only is justice reflected in social phenomena, but also it plays an important role in the ecosystem. By constructing a capital exchange agent-based model and simulating the dynamic process of social wealth distribution, this paper observes the changes of capital exchange entropy to explain the entropy increase theory. Furthermore, the maximum entropy of the final state differs from system to system, ecological justice of the system can by evaluated vertically or horizontally based on entropy increase theory and the Maximum Entropy Index. The constructed entropy model of capital exchange can prove the maximum entropy theory. Meanwhile, the phenomena of wealth concentration would totally give the right of choice to the affluent group, harming sustainable development.