Agent‐based models (ABMs) have recently seen much application to the field of climate mitigation policies. They offer a more realistic description of micro behavior than traditional climate policy models by allowing for agent heterogeneity, bounded rationality and nonmarket interactions over social networks. This enables the analysis of a broader spectrum of policies. Here, we review 61 ABM studies addressing climate‐energy policy aimed at emissions reduction, product and technology diffusion, and energy conservation. This covers a broad set of instruments of climate policy, ranging from carbon taxation, and emissions trading through adoption subsidies to information provision tools such as smart meters and eco‐labels. Our treatment pays specific attention to behavioral assumptions and the structure of social networks. We offer suggestions for future research with ABMs to answer neglected policy questions.

中文翻译：

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基于主体的气候-能源政策建模综述

基于代理的模型（ABM）最近在气候缓解政策领域中得到了广泛应用。与传统的气候政策模型相比，它们通过允许代理异质性，有限理性和社交网络上的非市场互动，提供了比传统气候政策模型更为现实的描述。这样可以分析更广泛的政策。在这里，我们回顾了61项针对针对减少排放，产品和技术扩散以及节能的气候能源政策的ABM研究。这涵盖了广泛的气候政策工具，范围包括碳税，通过采用补贴进行的排放交易以及智能电表和生态标签等信息提供工具。我们的治疗特别关注行为假设和社交网络的结构。