Economic Foundations for Social Complexity Science Theory, Sentiments, and Empirical Laws / edited by Yuji Aruka, Alan Kirman.

This book focuses on how important massive information is and how sensitive outcomes are to information. In this century humans now are coming up against the massive utilization of information in various contexts. The advent of super intelligence is drastically accelerating the evolution of the soci...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Aruka, Yuji (Editor), Kirman, Alan (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Evolutionary Economics and Social Complexity Science, 9
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book focuses on how important massive information is and how sensitive outcomes are to information. In this century humans now are coming up against the massive utilization of information in various contexts. The advent of super intelligence is drastically accelerating the evolution of the socio-economic system. Our traditional analytic approach must therefore be radically reformed in order to adapt to an information-sensitive framework, which means giving up myopic purification and the elimination of all considerations of massive information. In this book, authors who have shared and exchanged their ideas over the last 20 years, offer thorough examinations of the theoretical–ontological basis of complex economic interaction, econophysics, and agent-based modeling during the last several decades. This book thus provides the indispensable philosophical-scientific foundations for this new approach, and then moves on to empirical–epistemological studies concerning changes in sentiments and other movements in financial markets.
Physical Description:XII, 277 p. 100 illus., 61 illus. in color. online resource.
ISBN:9789811057052
ISSN:2198-4204 ;
DOI:10.1007/978-981-10-5705-2