artificial economic agents
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2021 ◽  
Author(s):  
Ruben Mercado

This introductory overview explores the methods, models and interdisciplinary links of artificial economics, a new way of doing economics in which the interactions of artificial economic agents are computationally simulated to study their individual and group behavior patterns. Conceptually and intuitively, and with simple examples, Mercado addresses the differences between the basic assumptions and methods of artificial economics and those of mainstream economics. He goes on to explore various disciplines from which the concepts and methods of artificial economics originate; for example cognitive science, neuroscience, artificial intelligence, evolutionary science and complexity science. Introductory discussions on several controversial issues are offered, such as the application of the concepts of evolution and complexity in economics and the relationship between artificial intelligence and the philosophies of mind. This is one of the first books to fully address artificial economics, emphasizing its interdisciplinary links and presenting in a balanced way its occasionally controversial aspects.



2016 ◽  
Vol 54 (4) ◽  
pp. 1394-1395

Leigh Tesfatsion of Iowa State University reviews “Agent-Based Computational Economics: How the Idea Originated and Where It Is Going,” by Shu-Heng Chen. The Econlit abstract of this book begins: “Aimed at graduate students researching computational economics, experimental economics, behavioral economics, and research methodology, presents an explanation of agent-based computational economics (ACE) and how it brings decentralized procedures into market analysis, including how artificial economic agents are designed.”



1992 ◽  
Author(s):  
Pietro Terna


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