Keynes’s Method Has Nothing to Do With a Common Discourse or Ordinary Language Logic: Keynes’s Method, Which Involved the Use of Inexact Measurement in Probability and Statistics, Based on Approximation, Was Based Directly on Boole’s Mathematical Logic and Algebra

M. E. Brady
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引用次数: 0

Abstract

It is impossible to correctly grasp Keynes’s method of analysis in the A Treatise on Probability in 1921 if the work of G Boole is ignored. Unfortunately, all Post Keynesian, Institutionalist and Heterodox economists , who have published work on Keynes in the 20th and 21st centuries, have done just that. George Boole, and not J M Keynes in his 1921 A Treatise on Probability, put forth the first technically advanced mathematical and logical treatment of a logical theory of probability in 1854 in his The Laws of Thought that was based on a logic of propositions about events or outcomes and not the events or outcomes themselves. This logic is a mathematical logic and has absolutely nothing to do with an ordinary discourse human logic, which involves the use of a common sense language between humans.

Given that Keynes built his A Treatise on Probability directly on the mathematical and logical approach and foundation of G Boole’s Boolean algebra and logic, it is simply impossible for Keynes’s approach in his A Treatise on Probability to have been based on a logic of ordinary language as claimed by Carabelli (1985, 1988, 2003), Chick (1998), and Chick and Dow (2001). Keynes is supposed to have had some kind of unique, unclear and peculiar approach to analysis based on intuition that can’t be discerned, according to Anna Carabelli (1985, 1988, 2003) and other heterodox economists.

Carabelli argues that Keynes was anti-logicist, anti-empiricist, anti-positivist, anti-rationalist, and anti-formalist in his method, as well as being anti-mathematical. It is quite impossible for Keynes to have opposed all of these positions and still write Parts II and V of the A Treatise on Probability, which provide formal, mathematical, and logicist underpinnings to his approach of Inexact measurement and Approximation that leads directly to Keynes’s specification of lower and upper bounds on all probabilities and outcomes except for areas of application involving his Principle of Indifference and relative frequencies that have passed an application of the Lexis-Q test (exploratory data analysis and /or goodness of fit tests).

Keynes’s inductive logic of Part III of the A Treatise on Probability is built directly on the method of inexact measurement and approximation of Part II of the A Treatise on Probability. This involves Keynes’s use of a modified version of Boole’s Problem X that he solved on pp.192-194 of the A Treatise on Probability and used on pp.234-237 and 254-257. Keynes’s development of the concept of finite probability, applicable to both numerical and non numerical probabilities, was a necessary prerequisite for understanding Keynes’s work in Part III on induction and analogy. Given Keynes’s work on the relationship between probability and induction in Part III of the A Treatise on Probability it is impossible for Keynes to have been a rationalist, as claimed by R.O.Donnell.

Keynes’s work in Part III of the A Treatise on Probability is then a prerequisite for his work in Part V of the A Treatise on Probability.

We can now see that it is impossible to grasp Keynes’s work in Part III of the A Treatise on Probability unless Part II of the A Treatise on Probability is understood and it is not possible to grasp Part V unless Part III of the A Treatise on Probability has been digested. Heterodox economists, in general, study only chapter III of Part I of the A Treatise on Probability. No Heterodox economist has ever studied Part II of the A Treatise on Probability.
凯恩斯的方法与普通的话语或普通的语言逻辑无关:凯恩斯的方法是直接基于布尔的数理逻辑和代数,而不是基于近似的概率和统计中的不精确测量
如果忽略布尔的工作,就不可能正确把握1921年《概率论》中凯恩斯的分析方法。不幸的是,所有在20世纪和21世纪发表过关于凯恩斯的著作的后凯恩斯主义、制度主义和非正统经济学家都是这么做的。乔治·布尔,而不是凯恩斯,在他1921年的《概率论》中,于1854年在他的《思想法则》中提出了第一个技术上先进的概率逻辑理论的数学和逻辑处理,该理论基于关于事件或结果的命题逻辑,而不是事件或结果本身。这种逻辑是一种数学逻辑,与普通的话语人类逻辑完全没有关系,后者涉及到人与人之间使用一种常识语言。鉴于凯恩斯直接将他的《概率论》建立在数学和逻辑的方法以及G布尔的布尔代数和逻辑的基础上,凯恩斯在《概率论》中的方法根本不可能像卡拉贝利(1985、1988、2003)、奇克(1998)和奇克和道(2001)所声称的那样,建立在日常语言的逻辑基础上。根据Anna Carabelli(1985,1988,2003)和其他非正统经济学家的观点,凯恩斯应该有某种独特的、不明确的、特殊的、基于直觉的分析方法,这种方法是无法辨别的。卡拉贝利认为,凯恩斯在他的方法上是反逻辑主义者、反经验主义者、反实证主义者、反理性主义者和反形式主义者,同时也是反数学主义者。凯恩斯不可能在反对所有这些观点的同时还写着《概率论》的第二和第五部分,这些部分提供了正式的,数学的,以及他的不精确测量和近似方法的逻辑学基础,直接导致凯恩斯对所有概率和结果的下界和上界的规范,除了涉及他的无差异原则和相对频率的应用领域,这些领域已经通过了Lexis-Q测试(探索性数据分析和/或拟合优度测试)的应用。凯恩斯在《概率论》第三部分的归纳逻辑直接建立在《概率论》第二部分的不精确测量和近似方法之上。凯恩斯在《概率论》第192-194页解决了布尔的X问题,并在第234-237页和第254-257页使用了该问题的修改版。凯恩斯对有限概率概念的发展,适用于数值和非数值概率,是理解凯恩斯在第三部分关于归纳和类比的工作的必要前提。考虑到凯恩斯在《概率论》第三部分中对概率和归纳法关系的研究,凯恩斯不可能像r.o.d annell所说的那样是一个理性主义者。凯恩斯在《概率论》第三部分的工作是他在《概率论》第五部分工作的先决条件。我们现在可以看到,如果不理解《概率论》的第二部分,就不可能理解凯恩斯在《概率论》第三部分中的工作;如果不消化《概率论》第三部分,就不可能理解《概率论》第五部分。一般来说,非正统经济学家只研究《概率论》第一部分的第三章。没有一个非正统经济学家研究过《概率论》的第二部分。
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