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Titlebook: Economic Foundations for Social Complexity Science; Theory, Sentiments, Yuji Aruka,Alan Kirman Book 2017 Springer Nature Singapore Pte Ltd

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發(fā)表于 2025-3-21 17:10:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Economic Foundations for Social Complexity Science
副標(biāo)題Theory, Sentiments,
編輯Yuji Aruka,Alan Kirman
視頻videohttp://file.papertrans.cn/302/301602/301602.mp4
概述Contains contributions from pioneers of complex economic interaction, econophysics, and agent-based modeling during the last 20 years and more.Presents suggestions by the leading economic scientists f
叢書名稱Evolutionary Economics and Social Complexity Science
圖書封面Titlebook: Economic Foundations for Social Complexity Science; Theory, Sentiments,  Yuji Aruka,Alan Kirman Book 2017 Springer Nature Singapore Pte Ltd
描述.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 insentiments and other movements in financial markets..
出版日期Book 2017
關(guān)鍵詞Social Complexity Science; Information Sensitive Approach; Analysis for Sentiments by Text Mining; Empi
版次1
doihttps://doi.org/10.1007/978-981-10-5705-2
isbn_softcover978-981-13-5467-0
isbn_ebook978-981-10-5705-2Series ISSN 2198-4204 Series E-ISSN 2198-4212
issn_series 2198-4204
copyrightSpringer Nature Singapore Pte Ltd. 2017
The information of publication is updating

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Systemic Risks in the Evolution of Complex Social Systemsity. This concept of probability is based on observations of living systems. An important point to note is that cognizing subjects are not limited to humans but also extend to materials. The material observer behaves as an “internal observer.” Further, material interactions between the observer and
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Socioeconomic Inequality and Prospects of Institutional Econophysicscently introduced Kolkata (.) index gives a measure of 1 ? . fraction of population who possess top . fraction of wealth in the society. This article reviews the character of such inequalities, as seen from a variety of data sources, the apparent relationship between the two indices, and what toy mo
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Extraction of Bi-graph Structures Among Multilingual Financial Words Using Text-Mining MethodsIn this chapter, we present a comparative study on English and Japanese text data, investigating possible relationships between the two vector models in two languages. We first extract two word2vec models by using news resources spanning ten years and then cluster them on the basis of their cosine s
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