Algorithmic Decision-making in Microeconomic Environments

Jyoti Kataria

ISBN 10: 620747533X / ISBN 13: 9786207475339

Verlag: LAP LAMBERT Academic Publishing, 2024

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9786207475339

Bibliografische Details

• Titel: Algorithmic Decision-making in Microeconomic Environments
• Verlag: LAP LAMBERT Academic Publishing
• Veröffentlichungsdatum: 2024
• Sprache: Englisch
• ISBN-10: 620747533X
• ISBN-13: 9786207475339
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.