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Titlebook: Economics for a Fairer Society; Going Back to Basics Tim Gooding Book 2019 The Editor(s) (if applicable) and the Author(s), under exclusive

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發(fā)表于 2025-3-21 20:08:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Economics for a Fairer Society
副標(biāo)題Going Back to Basics
編輯Tim Gooding
視頻videohttp://file.papertrans.cn/302/301955/301955.mp4
概述Examines what it would mean to economic theory if, in the long-run, supply and demand did not determine price.Provides an overview of agent-based models in economic theory.Argues the free market is a
圖書(shū)封面Titlebook: Economics for a Fairer Society; Going Back to Basics Tim Gooding Book 2019 The Editor(s) (if applicable) and the Author(s), under exclusive
描述.This Palgrave Pivot presents experiments that reveal core dynamics of trade in a complex system. Monetary trade is stripped of all its complications and placed in agent-based models, a complexity research tool capable of reproducing emergent behaviour and evolution. Included are ground-breaking repeatable experiments exploring the impact of evolutionary prerequisites empirically present in markets..Isolating the core dynamics of trade results in very simple agent-based models. However, decades of complexity research demonstrate that even the simplest systems result in emergent behaviour that is extremely difficult to anticipate. Readers who are only familiar with the linear-system theories and models used to train almost all undergraduate economics students might be surprised to witness price detaching from supply and demand, and extreme poverty and wealth arising in trade systems populated by agents with equal ability and opportunity. Watch as empirical evolutionary prerequisites are introduced and price patterns characterising two different markets – asset markets and speculative markets – emerge irrespective of supply and demand..In addition to laying the groundwork of monetary
出版日期Book 2019
關(guān)鍵詞Economic theory; Agent-based models; Complex system; microfounded macroeconomic models; Trade model; Neoc
版次1
doihttps://doi.org/10.1007/978-3-030-17020-2
isbn_ebook978-3-030-17020-2
copyrightThe Editor(s) (if applicable) and the Author(s), under exclusive licence to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-030-43815-9 time, many disciplines both in and outside academia have adopted agent-based modelling for scientific investigation, especially where systems made up of people were concerned. All this makes it an ideal tool with which to investigate the economy.
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Analytical Methods in Biotechnologyental design. The second is to ensure that the results are robust and not an artefact of specific code or a particular design. This is a particular challenge when the outcome involves patterns that are not amenable to statistical analysis. This explains steps taken to ensure that the results in this book are robust.
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Jeffrey G. Macintosh,Douglas J. Cumming the money distribution outcome when trade is inefficient in an evolutionary system. The factors introduced are the number of times an agent attempts trades in a given iteration (trade velocity) and how far the agent can detect price in the market.
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Enza Di Carlo,Giovanna Barresi,Franco Pallahe 1970s, economics has held fast to its 100-year tradition of using linear-system mathematical models to build the theory presented in undergraduate university courses around the world. As a result, trade in a complex system is under-researched. Furthermore, there is increasing pressure on the econ
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Alfalfa Pollen and Callus Responses to ,talistic community. As intended, the community, in aggregate, got richer. However, community rifts intensified, with some people feeling as if they had been bypassed altogether. In fact, many of the endemic ‘modern’ problems found fertile ground in the newly capitalistic community. In searching for
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