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9781009005753

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'The use of Artificial Intelligence-driven methods in economics are becoming widespread. Ruben Mercado's book gives, at an entry-level, a nice overview of the various domains where AI is applied in economics. Through its intuitive approach, the book gives a good insight into this new field and is accessible to a broad audience.' Hans Amman, University of Amsterdam 'This book does an outstanding job at fleshing out different approaches to the study of artificial economies. Mercado provides a detailed examination of the philosophical foundations that justify the conflation of artificial and human economies and reveals the wide-ranging connections between the study of complex systems, computer science, and behavioral science. Mercado has the rare ability of being able to speak to attract both the specialist and the uninitiated to the exploration of worlds populated by artificial agents engaged in economic interactions. This alone makes the book worth reading.' Fernando Tohme, Universidad Nacional del Sur, Argentina 'Ruben Mercado's Artificial Economics is a readable, stimulating introduction to the modeling principles and to the main techniques used in this field. The book focuses on intuitive and conceptual aspects, and it is easily accessible to readers independently of their background. It presents the different techniques using selected, distilled examples, and it complements each approach with a discussion of its links to other disciplines in the social sciences that approach the same problems from different perspectives.' Segismundo Izquierdo, Universidad de Valladolid

'The use of Artificial Intelligence-driven methods in economics are becoming widespread. Ruben Mercado's book gives, at an entry-level, a nice overview of the various domains where AI is applied in economics. Through its intuitive approach, the book gives a good insight into this new field and is accessible to a broad audience.' Hans Amman, University of Amsterdam 'This book does an outstanding job at fleshing out different approaches to the study of artificial economies. Mercado provides a detailed examination of the philosophical foundations that justify the conflation of artificial and human economies and reveals the wide-ranging connections between the study of complex systems, computer science, and behavioral science. Mercado has the rare ability of being able to speak to attract both the specialist and the uninitiated to the exploration of worlds populated by artificial agents engaged in economic interactions. This alone makes the book worth reading.' Fernando Tohmé, Universidad Nacional del Sur, Argentina 'Ruben Mercado's Artificial Economics is a readable, stimulating introduction to the modeling principles and to the main techniques used in this field. The book focuses on intuitive and conceptual aspects, and it is easily accessible to readers independently of their background. It presents the different techniques using selected, distilled examples, and it complements each approach with a discussion of its links to other disciplines in the social sciences that approach the same problems from different perspectives.' Segismundo Izquierdo, Universidad de Valladolid

Author Information

Ruben Mercado is a Professor at the Latin American Faculty of Social Sciences and a member of the editorial board for the journal Computational Economics. He holds a Ph.D. in economics from The University of Texas at Austin. His research specializes in computational economics, economic modeling and economic development. In the past, he has taught at the University of Texas at Austin, Bryn Mawr College, the Technological and Higher Studies Institute of Monterrey, and the Universities of Buenos Aires, Quilmes and San Martín. He has also been a Senior Economist at the United Nations Development Program, a Chair for the Study of Western Hemispheric Trade at the Lozano Long Institute of Latin American Studies, and a consultant for the World Bank and the Inter-American Development Bank. He is a co-author of the pioneering textbook Computational Economics (2006).

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