Titlebook: Evolutionary Economics; Yuji Aruka Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Natu

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Textbook 2024tem. There is little room left for the effective working of human reason. Correspondingly, the meanings of money, exchange, the market system, auctions, production, consumption, and the currency transaction system are poised to change. In most cases, there will be digital counterparts. A smart contr

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The Evolution of Molecule System and the Systemic Riskstutions. Economic institutions must serve as the coordinating device. Conversely, this device will function as a sensor mechanism for sustaining the underlying system. We have witnessed a number of debates centering on the polarity between Keynesian and Hayekian economic theories and on a “command a

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Alternative Developing Tools for Economicsing with the new attributes brought about by this great change will be beyond the scope of traditional economics. Digital tools such as blockchain, cryptocurrency, and crypt assets as well as distributive ledger systems, require new modes of analysis. First, the evolution of money and complex thinki

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The Reconstruction of the Theory of Production and Preferenceo invalidate myopic optimization, (3) the SMD Theorem to invalidate invisible hand, and (4) the market mechanism to invalidate the efficient market hypothesis. Needless to say, the alternative theories shown in these arguments imply the reconstruction of economics. Finally, we address the current an

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Choice Axioms and a Geometrical Analysis of Rankingsces or mode choices. Alternatively, it may be possible to derive the multinomial logit model type utility from the neoclassical assumptions. A restrictive assumption like Independence from Irrelevant Alternatives (IIA) is often not only required to be imposed but also to depend on the assumption tha

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Elementary Tools for Stochasitc Analysisasm for normal distributions’ of natural and social scientists in the 19th century. Indeed, from the discoveries of Bernoulli and de Moivre, it came to be thought that large amounts of data on completely chance events could be used to argue for nonchance regularities. Moreover, the large amounts of

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