基于多Agent系统的农业政策建议分析
Analysis of Agricultural Policy Recommendations using Multi-Agent Systems
摘要：
尽管农业是印度一半以上人口的主要生计来源，但在印度农业部门实施的一些社会经济政策没有充分注意这些政策可能产生的结果。一些政策的负面影响可以从一些研究报告和媒体定期报道的农民遭受的巨大痛苦中看出。在本文中，我们在印度的一个特定的麻烦农业子系统建模为多代理系统，并用它来分析一些政策的影响。理想情况下，我们应该能够模拟整个系统，包括所有来自其他系统的外部依赖关系-例如，劳动力或水的可用性可能取决于其他就业来源，水权等-但为了我们的目的，我们从一个相当基本的模型开始，不考虑这些外部影响。据我们所知，在印度没有考虑水位、信息可用性和市场模拟等因素的可用模型。因此，我们将各种实体插入模型中，使其足够接近观察到的现实，至少在印度的一些选定地区。我们评估了一些政策选择，以了解一旦实施这些政策可能发生的变化。根据仿真结果提出了相应的政策建议。
英文摘要：
Despite agriculture being the primary source of livelihood for more than half of India's population, several socio-economic policies are implemented in the Indian agricultural sector without paying enough attention to the possible outcomes of the policies. The negative impact of some policies can be seen in the huge distress suffered by farmers as documented by several studies and reported in the media on a regular basis. In this paper, we model a specific troubled agricultural sub-system in India as a Multi-Agent System and use it to analyse the impact of some policies. Ideally, we should be able to model the entire system, including all the external dependencies from other systems - for example availability of labour or water may depend on other sources of employment, water rights and so on - but for our purpose, we start with a fairly basic model not taking into account such external effects. As per our knowledge there are no available models which considers factors like water levels, availability of information and market simulation in the Indian context. So, we plugged in various entities into the model to make it sufficiently close to observed realities, at least in some selected regions of India. We evaluate some policy options to get an understanding of changes that may happen once such policies are implemented. Then we recommended some policies based on the result of the simulation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
