Journals / Ankara Üniversitesi SBF Dergisi / 2020 / Cilt: 75 - Sayı: 1

Romeo and Juliet of Probability

OLASILIĞIN ROMEO’SU VE JULIET’İ

Pages
193–212
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This paper aims to examine those interpretations, which may be named as Romeo and Juliet of probability, by dividing the history of probability theory into four periods.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Probability is used in two different meanings in the philosophy of probability as well as everyday language: Subjective probability and objective probability.
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Key Findings & Data:The mentioned measure is equal to 1 if the hypothesis is believed completely, is equal to 0 if the hypothesis is disbelieved completely, and is equal to 0.5 if the hypothesis is believed and disbelieved equally.
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Conclusion & Impact:This paper aims to examine those interpretations, which may be named as Romeo and Juliet of probability, by dividing the history of probability theory into four periods.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Probability is used in two different meanings in the philosophy of probability as well as everyday language: Subjective probability and objective probability. According to some philosophers, true probability is subjective probability. This probability is a measure reflecting the degree of belief attached to a hypothesis. The mentioned measure is equal to 1 if the hypothesis is believed completely, is equal to 0 if the hypothesis is disbelieved completely, and is equal to 0.5 if the hypothesis is believed and disbelieved equally. Some philosophers do not evaluate this probability as true probability. According to them, true probability is objective probability. Objective probability is a measure reflecting the degree of possibility for an outcome in a trial. The degree of possibility is abstract and it can be concretized by long run relative frequency of the outcome in a trial. Hence, the objective probability attached to an outcome in a trial is equal to 1 if the outcome occurs every time, is equal to 0 if it never occurs, and is equal to ½ if it occurs in half of the sequences of the trial. This paper aims to examine those interpretations, which may be named as Romeo and Juliet of probability, by dividing the history of probability theory into four periods.

Özet

Olasılık gündelik dilde olduğu gibi olasılık felsefesinde de iki farklı anlamda kullanılır: Öznel olasılıkve nesnel olasılık. Kimi filozoflara göre gerçek olasılık öznel olasılıktır. Bu olasılık bir ilerisürüme duyulaninanç düzeyini yansıtan bir ölçüdür. Söz konusu ölçü, ilerisürüme tam inanılması durumunda 1, hiçinanılmaması durumunda 0, eşit ölçüde olmak üzere biraz inanılıp biraz inanılmaması durumunda ise 0.5 olur.Kimi filozoflar bu olasılığı gerçek olasılık biçiminde değerlendirmezler. Onlara göre gerçek olasılık nesnelolasılıktır. Nesnel olasılık bir denemedeki herhangi bir sonucun olmaktaki kolaylık düzeyini yansıtan birölçüdür. Olmaktaki kolaylık soyuttur ve bu nedenle de uzun dönemdeki göreceli sıklık ile somutlaştırılır. Bunagöre bir denemedeki bir sonuca ilişkin nesnel olasılık söz konusu sonuç denemelerin hepsinde gerçekleşiyorsa1, hiçbirinde gerçekleşmiyorsa 0, yarısında gerçekleşip yarısında gerçekleşmiyorsa ½ olur. Bu çalışma,olasılığın Romeo’su ve Juliet’i diye adlandırılabilecek yukarıdaki olasılık anlamlandırmalarını, olasılık kuramıtarihini dört döneme ayırarak incelemeyi amaçlamaktadır.

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Cite This Article

KORKMAZ, A. (2022). Romeo and Juliet of Probability. Ankara Üniversitesi SBF Dergisi, Cilt: 75 - Sayı: 1, 193–212. https://ajindex.com/articles/442886

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