Discovering Artificial Economics: How Agents Learn And Economies Evolve

by David F. Batten

Overview

This book discusses and illustrates the emergent behavior produced due to cumulative pattern of interactions in a strongly interactive economy, reflecting the diversity of decisions taken by different economic agents. It takes a look at unexpected socioeconomic changes during the past millennium.

Product Details

ISBN-13:	9780367165055
Publisher:	Taylor & Francis
Publication date:	05/31/2021
Pages:	336
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

1. Chance and Necessity 2. On the Road to Know-Ware 3. Sheep, Explorers, and Phase Transitions 4. The Ancient Art of Learning by Circulating 5. Networks, Boosters, and Self-Organized Cities 6. Traffic Near the Edge of Chaos 7. Coevolving Markets 8. Artificial Economics

Editorial Reviews

Having given up teaching infrastructure economics in Europe and North America to manage a scientific consulting firm in Melbourne, Batten introduces in non-technical terms the ideas of modern systems theory and self-organization as they apply to problems in the economic realm. Evolutionary game theory, stock markets, and urban and traffic planning are among the examples he uses to explain how economic agents interact to produce unexpected features. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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