Algorithmic Decision-making in Microeconomic Environments explores the intersection of advanced algorithms and microeconomics, shedding light on how computational methods are reshaping decision-making processes in economic contexts. This book delves into the application of algorithms to microeconomic problems, ranging from pricing strategies and resource allocation to market design and consumer behavior analysis. Through a blend of theoretical insights and practical examples, readers gain a deep understanding of the capabilities and limitations of algorithmic decision-making in microeconomic environments. From traditional optimization techniques to cutting-edge machine learning algorithms, the book examines various computational approaches and their implications for economic efficiency, equity, and social welfare.