Digital designs for money, markets, and social dilemmas / Yuji Aruka, editor.
Aruka, Yūji, 1949- editor.
2022
HB97.3
Available Online

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Title Digital designs for money, markets, and social dilemmas / Yuji Aruka, editor.
ISBN 9789811909375 (electronic bk.)
9811909377 (electronic bk.)
9811909369
9789811909368
DOI https://doi.org/10.1007/978-981-19-0937-5
Imprint Singapore : Springer, 2022.
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-981-19-0937-5 doi
Call Number HB97.3
Dewey Decimal Classification 330.1
Summary An innovative feature of this book is its econocentric structure, focusing on digital designs. From the outset, econocentrism is assumed to be a core engine of capitalism, like money. The new coronavirus pandemic has changed lifestyles worldwide, which are unlikely ever to return in their original form. This great transformation will change the nature of the socio-economic system itself and will be centered on digital designs. At present, money already is beginning to undergo a major revolution in that sense. Many books dealing with digital designs and innovations have been published, but few if any of them focus on monetary and analytical methods in the way that this present volume does. The book then contains 6 parts: Evolution of money and thinking complexities in the AI era; Goods market and the future of labor market; Computational social approaches to social dilemmas, smart city, cryptocurrencies; Artificial market experiments; The randomness and high frequencies in financial data; Other trading strategy issues and the effects of AI usage. These issues may be indispensable subjects in our age. Study these subject, and have a step forward to the future society!
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 8, 2022).
Added Author Aruka, Yūji, 1949- editor.
Series Evolutionary economics and social complexity science ; v. 28.
Available in Other Form Print version: 9789811909368
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1
A step forward to the future society
Part 1: Evolution of money and thinking complexities in the AI era
Chapter 2: 'Good Money Drives Out Bad' among Diversifying e-moneys: Cryptocurrency, Stablecoin, and Digital Community Currency
Chapter 3: Practical case study About US: Doreming
Part 2: Good market and the future of labor market
Chapter 4: Model Structure of Agent-Based Artificial Economic System Responsible for Reproducing Fundamental Economic Behavior of Goods Market
Chapter 5: AI and the Future of the Labor Market: The Advent of a New Paradigm?
Part 3: Computational social approaches to social dilemmas, smart city, cryptographics
Chapter 6: Mathematical framework to quantify social dilemmas
Chapter 7: Agent-based Simulation for Service and Social Systems and Large-scale Social Simulation Framework
Chapter 8: Characterization of XRP Crypto-asset Transactions from Networks Scientific Approach
Part 4: Artificial market experiments
Chapter 9: The emergence of markets and artificial market experiments
Chapter 10: Trading Agents for Artificial Futures Markets
Chapter 11: Default Agent Set for Artificial Futures Market Simulation
Chapter 12: Programmed trading agents and market microstructure in an artificial futures market
Chapter 13: Artificial Intelligence (AI) for financial markets: a good AI for designing better financial markets and a bad AI for manipulating markets
Part 5: The randomness and high frequencies in the financial data
Chapter 14: Possible Relationship of the Randomness and the Stock Performance
Chapter 15: Random Matrix Theory (RMT) application on financial data
Chapter 16: How does the entropy function explain the distribution of high frequency data?
Part 6: Other trading strategy issues and the effects of AI usage
Chapter 17: The Emergence of Periodic Properties of Ordering Strategies under Disruption in the Beer Game
Chapter 18: Network of investment-oriented social media
Chapter 19: Student Learning in the Age of AI.

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