Universe

exists = is in = belongs to = can be found

Exists” is “存在” in Chinese. Literally,

exists = 存在 = is stored in

X is stored in” is not a complete sentence because it lacks an object. X is stored in where?

Existence is asking for an address. If you know something exists, but do not know in which it is stored, you can always say “X is in the universe“. The concept “universe” acts as a universal address or universal container. 

But by definition, the universe itself cannot have any address. So the sentence “the universe exists” is meaningless.

— Me@2012.10.18

2012.12.14 Friday (c) All rights reserved by ACHK

Completeness

A formal system S is syntactically complete or deductively complete or maximally complete or simply complete if and only if for each formula φ of the language of the system either φ or (not φ) is a theorem of S. This is also called negation completeness. In another sense, a formal system is syntactically complete if and only if no unprovable axiom can be added to it as an axiom without introducing an inconsistency.

Truth-functional propositional logic and first-order predicate logic are semantically complete, but not syntactically complete (for example, the propositional logic statement consisting of a single variable “a” is not a theorem, and neither is its negation, but these are not tautologies). Godel’s incompleteness theorem shows that any recursive system that is sufficiently powerful, such as Peano arithmetic, cannot be both consistent and complete.

— Wikipedia on Completeness

2012.12.11 Tuesday ACHK

Godel 7

The branch of mathematical logic that deals with what is true in different models is called model theory. The branch called proof theory studies what can be formally proved in particular formal systems. The completeness theorem establishes a fundamental connection between these two branches, giving a link between semantics and syntax.

The completeness theorem should not, however, be misinterpreted as obliterating the difference between these two concepts; in fact Godel’s incompleteness theorem, another celebrated result, shows that there are inherent limitations in what can be achieved with formal proofs in mathematics.

The name for the incompleteness theorem refers to another meaning of complete (see model theory – Using the compactness and completeness theorems). In particular, Godel’s completeness theorem deals with formulas that are logical consequences of a first-order theory, while the incompleteness theorem constructs formulas that are not logical consequences of certain theories.

— 14 February 2012

— Wikipedia on Godel’s completeness theorem

2012.12.07 Friday ACHK

The problem of induction 2

Occam’s razor 2

If induction has worked in the past, it is a simpler theory that it will continue to work, than it will stop working at precisely midnight, because the theory that it will stop working has to contain additional information specifying when it will stop working.

Marcus Hutter, in 2005, demonstrated that simpler theories are ([given that] all other things being equal) more likely to be true.

This gives us the bootstrap we need to have as least a minimal reason to trust induction that doesn’t require inductive reasoning.

— 31 August 2012 11:20:20AM

— Douglas_Reay

— Less Wrong

2012.12.05 Wednesday ACHK

Godel 6

This theorem implies that the only way a language can be incomplete is [that] there is a model of the language in which a particular statement is true, and another in which the statement is false.

For example, we can see that [for] the language [comprising] the symbols 0, 1, +, -, and , [] the statement []   is true [] if we take the structure to be C or R, but not if we choose Q. So it is clear that the formula a*a = 2 is not true in every model of the language and the thus the language is incomplete.

What the completeness theorem asserts is that this is the only way that a theory (set of formulas) can be incomplete and that every formula that satisfies every structure is provable in the language.

— Godel’s Completeness And Incompleteness Theorems

— Ben Chaiken

2012.12.04 Tuesday ACHK

Godel 5

Now when you combine the Completeness and Incompleteness Theorems, you can get some really remarkable results. If you work with the axioms of number theory, call them N (which include many of the above axioms F along with axioms for < and axioms for mathematical induction), for example, we know by the Incompleteness Theorem that there is a statement X such that neither X nor (not X) is provable. Hence, by the Completeness Theorem, there is a model of N in which X is true and a model of N in which X is false.

It follows that there are mathematical universes which look and act very much like the regular natural numbers, but do in fact have some subtle differences. One of the most fascinating results I’ve seen is that there is a model of number theory which “thinks” (in a precise sense) that the axioms N are inconsistent, even though they are not (roughly, the “proof” of an inconsistency that it “sees” is infinitely long, and so is not a real proof).

— Godel’s Completeness Theorem

— Joe Mileti

2012.12.02 Sunday ACHK

Godel 4.2

Paradox 8.2

Godel’s Incompleteness Theorems are anti-self-reference:

For any formal system strong enough to include the system of arithmetic, to prove its consistency, you need a stronger system.

— Me@2012-04-02 9:35:17 AM

2012.11.30 Friday (c) All rights reserved by ACHK

Superdeterminism

Paradox 9

In the context of quantum mechanics, superdeterminism is a term that has been used to describe a hypothetical class of theories which evade Bell’s theorem by virtue of being completely deterministic. Bell’s theorem depends on the assumption of [non-] counterfactual definiteness, which technically does not apply to deterministic theories. It is conceivable, but arguably unlikely, that someone could exploit this loophole to construct a local hidden variable theory that reproduces the predictions of quantum mechanics.

… in a deterministic theory, the measurements the experimenters choose at each detector are predetermined by the laws of physics. It can therefore be argued that it is erroneous to speak of what would have happened had different measurements been chosen; no other measurement choices were physically possible. Since the chosen measurements can be determined in advance, the results at one detector can be affected by the type of measurement done at the other without any need for information to travel faster than the speed of light.

— Wikipedia on Superdeterminism

Even if there are no other physical possibilities for a measurement choice, there are other logical possibilities. The goal of quantum mechanics, or science in general, is to consider, for an identical system, what input results what output.

The problem of superdeterminism in quantum mechanics is not “claiming the observers’ action are deterministic”, but by claiming so, claiming also that there is no decoherence (wave function collapse).

When we say that the observer cannot be separated from the observed, we mean that we have to consider the whole (observed + observer), instead of shifting the system from the observed to the observer, and then ignoring the original observed itself.

— Me@2012-11-20 02:11:06 PM

2012.11.23 Friday (c) All rights reserved by ACHK

機會率哲學 2.7.2

The problem of induction 1.7.2 | Paradox 7.2

這段改編自 2010 年 4 月 3 日的對話。

(安:但是,你不能不考慮「機會率」。

例如,你發覺一粒骰子,一百次之中,全部一百次都是擲到「一」。那樣,你會認為,那一粒骰子不正常,不是公平的。你歸納到的規律是,那粒骰子次次也會擲到「一」。所以,你會預測,下次擲骰子的結果都是「一」。正如,因為以往的每天,太陽都由東邊升起,你自然會預期,明天都是那樣。這是一個「完全有規律」的例子。

又例如,你發覺一粒骰子,一百次之中,有九十次都是擲到「一」。你會覺得,「擲到一」的機會率,遠高於其他五個數字。你歸納到的規律是,那粒骰子傾向擲到「一」。所以,你會預測,下次擲骰子的結果都是「一」。這是一個「既不是完全沒有規律,亦不是完全有規律」的例子。一方面,這個事件並不是「完全不可預測」的,因為你相當有信心,骰子會擲到「一」。另一方面,這個事件亦不是「完全可預測」的,因為你的信心並不至於大到,願意用整副身家到擔保。

再例如,你發覺一粒骰子,一百次之中,有大概十六次是擲到「一」,而其他數字的出現次數,也是差不多。那樣,你會認為,那一粒骰子是正常公平的。這是一個「完全沒有規律」的例子。因為骰子對那六個數字,無所偏好,導致你「完全不可預測」,下一次會擲到哪一個數字。

但是,從另一層次看,「無所偏好」即是「隨機」。那樣,你就可以使用「機會率法則」。雖然你不可以預測,下一次會擲到哪一個數字,但是你可以宣稱,下一次擲到任何一個數字的機會率,都是六分之一。換句話說,如果你把骰子擲很多次,每個數字出現的次數,都會佔全部次數的大概六分之一。)

你的意思是,個別事件「完全不可預測」的話,即是在「個別事件層次」,完全沒有規律。那樣,如果提高一個層次,改為觀察「大量個別事件」,就反而會有明顯的規律。完全沒有規律的個別事件,即是「隨機事件」。既為「隨機事件」,就可以用「機會率」去處理。

又或者說,如果個別事件完全沒有「必然定律」,集體事件就會遵守「概然定律」。「概然」即是「大概而然」,亦即「集體而言」。「概然定律」,亦稱「機會率法則」。

— Me@2012.11.17

2012.11.17 Saturday (c) All rights reserved by ACHK

Philosophical Investigations

Relation to the Tractatus

According to the standard reading, in the Philosophical Investigations Wittgenstein repudiates many of his own earlier views, expressed in the Tractatus Logico-Philosophicus. The Tractatus, as Bertrand Russell saw it (though it should be noted that Wittgenstein took strong exception to Russell’s reading), had been an attempt to set out a logically perfect language, building on Russell’s own work. In the years between the two works Wittgenstein came to reject the idea that underpinned logical atomism, that there were ultimate “simples” from which a language should, or even could, be constructed.

In remark #23 of Philosophical Investigations he points out that the practice of human language is more complex than the simplified views of language that have been held by those who seek to explain or simulate human language by means of a formal system. It would be a disastrous mistake, according to Wittgenstein, to see language as being in any way analogous to formal logic.

Instead, language has many context-sensitive expressions, such as indexicals.

— Wikipedia on Philosophical Investigations

2012.11.16 Friday ACHK

機會率哲學 2.7.1

The problem of induction 1.7.1 | Paradox 7.1

這段改編自 2010 年 4 月 3 日的對話。

(安:Hans Reichenbach 講法的下半段是,如果自然現象根本沒有規律可言,就不會有任何方法,可以找到任何規律。那樣,即使找不到規律,也不是「歸納法」有錯。

這裡我不明白的地方是,何謂「完全沒有規律」呢?

我彷彿想像不到,有一個情況,可以真的「完全沒有規律」。)

你的意思是,「完全沒有規律」本身,都可以視為一個「規律」?

(安:大概是。)

那樣不行。有沒有「規律」,不純粹是感覺。你不可以隨便標籤,因為我們正在討論的「規律」,有明確意思。「有規律」是指「可預測」。如果一件事件是「不可預測的」,你就不可以宣稱它「有規律」。

(安:但是,你不能不考慮「機會率」。)

— Me@2012.11.15

2012.11.15 Thursday (c) All rights reserved by ACHK

機會率哲學 2.6

The problem of induction 1.6

這段改編自 2010 年 4 月 3 日的對話。

任何一個人,即使不是科學家,都需要「預測將來」,除非他毋須做任何決定。所謂「做決定」,就是在眾多「可能未來」中,選定一個。如果沒有一定程度的「預測」,就不能分辨,哪些未來是「可能」,哪些未來是「不可能」。

除非宇宙的本質是「不可預測的」,否則,「歸納法」就一定可以助你,去「預測將來」。

(安:無錯。但是,我還有些地方不明白。

你剛才引述哲學家 Hans Reichenbach 所講,如果有任何其他方法,可以找到自然現象的規律,「歸納法」都可以找到。其實,我不太明白,何謂「其他方法」。

「歸納法」就是指,透過不斷的觀察和實驗,去找出「自然定律」,從而預測將來。我想像不到,還有「觀察」以外的方法,去了解自然世界。)

哲學家們並不是指,現時實際上,「歸納法」以外,還有其他可信可用的方法,去預測將來。他們是指,理論上可以有。

例如,你發覺一粒骰子,一百次之中,有九十次都是擲到「一」。那樣,你會認為,那一粒骰子不正常,不是公平的。你會覺得,「擲到一」的機會率,遠高於其他五個數字。所以,你會預測,下次擲骰子的結果是「一」。那就是「歸納法」的運用。

但是,你可以想像,有一位占卜師,毋須預先把那粒骰子擲一百次,而改為用占卜,就可以知道,那粒骰子傾向出現「一」。

而 Reichenbach 的意思是,如果利用(例如)占卜,就可以找到那粒骰子的規律,「歸納法」都可以找到,只要觀察的時間足夠長,收集的案例足夠多。

(安:跳高一個層次,即使你想求教於占卜,要衡量某位占卜師可不可靠,最終也要觀察他過往的表現。到頭來,又要使用「歸納法」。)

— Me@2012.11.12

2012.11.12 Monday (c) All rights reserved by ACHK

藉口 3

Small big bang, 3 | 小宇宙大爆炸 3 | 開山祖師牛 7 | 原因 3 | 西瓜 7

由 = 來源 = 因

原因 = 事件原因 

理由 = 道理原因

自由

= 自己作原因

= 自己可作某些因果鏈的起點

= 自己可作某些事件的第一因

— Me@2012-11-10 12:12:05 PM

描述原因的句子,是經驗句。

解釋理由的句子,是重言句。

— Me@2012-11-10 02:24:55 PM

2012.11.10 Saturday (c) All rights reserved by ACHK

機會率哲學 2.5

The problem of induction 1.5 | 西瓜 6.5

這段改編自 2010 年 4 月 3 日的對話。

即使沒有以上對「歸納法」的幾個辯解,而導致我們不可宣稱「歸納法合乎理性」,我們也不應該對「歸納法」,有不合理的期望,要求一些百分百保證,一定不會錯的預測。我們運用「歸納法」,是想得到一些「描述經驗世界的句子」,即是「綜合句」,而不是「重言句」。凡是「描述經驗世界的句子」,就一定有機會錯,那怕機會是微乎其微。

有些句子有意思,有些句子沒有意思。而有意思的句子之中,可再分成兩類:analytic propositions(重言句/恆真式)和 synthetic propositions(綜合句/經驗句)。

「重言句」只是概念之間的關係(relations of ideas)。例如:

1. 冰箱內有西瓜,或者沒有西瓜。

2. 我爺爺是我爸爸的爸爸。

「重言句」的好處是它絕對準確。不好處是它沒有任何信息內容,對世界沒有任何描述。

「綜合句」是對事實的陳述(matters of facts)。例如:

1. 冰箱內有西瓜。

2. 愛因斯坦是我爸爸的爸爸。

「綜合句」的不好處是有可能錯。好處是它有信息內容,對世界有描述。

— Me@2012.11.10

2012.11.10 Saturday (c) All rights reserved by ACHK

機會率哲學 2.4

The problem of induction 1.4 | 西瓜 6.4

這段改編自 2010 年 4 月 3 日的對話。

過去會發生的事情,即使已重複發生了很多次,也不代表,將來會發生。正正是因為「預測」將來,不一定會百分百準確,我們對「歸納法」,要有所防範。無論是在日常生活,還是專業工作,既要為最好作準備,亦為最壞作打算。

例如,你過去幾十年,從未試過有大病,不代表將來不會有。所以要事先買保險,以防備未來可能突如其來的醫療開支。

又例如,你的電腦在過去五年,從未試過有故障,不保證將來不會有。萬一有損壞,你一大堆重要的資料,會化為烏有。所以要事先定期做好備份,即是任何重要資料,在任何時候,都要有幾份複本,儲存於不同地方的不同電腦,以防備未來可能突如其來的資料損毀。

再例如,科學家發表的研究結果,並不會只是來自一、兩次的實驗,而是會來自輕則數十次,重則成千上萬次的試探,以提防視「偶然」為「必然」,以提防視「特例」為「通則」。

又再例如,一款藥物推出市面前,一定會經歷鉅細無遺、數之不盡的臨床測試,以減低造成人命傷亡的機會率。

— Me@2012.11.09

2012.11.09 Friday (c) All rights reserved by ACHK

機會率哲學 2.3

The problem of induction 1.3 | 西瓜 6.3

這段改編自 2010 年 4 月 3 日的對話。

第三種對「歸納法」的辯解,來自哲學家 Hans Reichenbach。

科學家的工作是,透過無數的觀測和實驗,即是「歸納法」,去提煉「自然定律」,用以解釋現有的現象,和預測將來的現象。但是,「歸納法」是沒有「必然性」的。過去會發生的事情,即使已重複發生了很多次,也不代表,將來會發生。之前的一大堆實驗結果,可能只是出於「偶然」,而不是來自什麼特定的「自然定律」。科學家最多只能「預測」,而不能百分百「保證」,下一個實驗結果,會跟之前的相符。

Hans Reichenbach 指出,在這個情況下,我們仍然使用「歸納法」,是因為我們有可能會贏,但不可能會輸。最壞的情況是,打和。

There is everything to win but nothing to lose.

究竟我們可不可以,透過過去的數據,去預測將來,而得到一定程度的準確度呢?那要視乎,這個宇宙有沒有規律。

宇宙有規律 = 世事有常 = 可預測的

宇宙沒有規律 = 世事無常 = 不可預測的

這個宇宙,要麼有規律,要麼沒有規律。有規律的話,使用「歸納法」,就一定可以找到那些規律;沒有規律的話,即使不用「歸納法」,也不會找得到。

換句話說,如果有任何其他方法,可以找到自然現象的規律,「歸納法」都可以找到。但是,如果自然現象根本沒有規律可言,就不會有任何方法,可以找到任何規律。那樣,即使找不到規律,也不是「歸納法」有錯,而是宇宙有病。

這個答法的好處是,它正正化解了人們對 「A. J. Ayer 答法」的質疑,詳細解釋了,究竟「歸納法」這個概念,是如何嵌入「理性」之中。

(安:你記錯了,那是「知識論」科的內容,而不是「哲學分析」科。)

— Me@2012.11.07

2012.11.07 Wednesday (c) All rights reserved by ACHK

機會率哲學 2.2

The problem of induction 1.2 | 西瓜 6.2

這段改編自 2010 年 4 月 3 日的對話。

第二個「解答」,來自英國哲學家 A. J. Ayer。那不是一個正式的「解答」,而是指出「歸納法是理性的」這句說話,根本是重言句。又或者說,「歸納法為何符合理性」這個問題,根本是多餘的,問來也沒有意思。根據正常人對「理性」和「歸納法」這兩個字眼的用法,「理性」已經包含了「歸納法」。正如「亞洲人是人」是重言句,因為「亞洲人」的意思,已包括了「人」。

換句話說,「歸納法」這個概念,一早已經裝嵌於「理性」之中。「理性」的其中一個必要元素是,懂得使用「歸納法」。例如,有一個嬰兒,手指不慎接觸到蠟燭的火光,感覺到痛,他就立刻縮手,以免再受傷。自此以後,他對蠟燭的火光,都存有戒心,不敢再接觸。那樣,我們會覺得那個嬰兒,是一個「理性的嬰兒」。「理性」的地方在於,縱使不自覺,他也運用了「歸納法」:「上次我手指碰到火光時,感覺到痛。下次碰到時,很可能都會那樣,所以最好避之則吉。」

相反,如果有另一個嬰兒,太早有哲學思考的話,他就可能會質疑「歸納法」:「雖然我上次被火灼傷,但那並不代表,我下次都會被火灼傷,所以,我可以再把手指,放於火光之中,再試一試。」那樣,我們會覺得那個嬰兒,是一個「瘋狂的嬰兒」。

這個答法的問題在於,「歸納法」和「理性」的關係,並不如「亞洲人」和「人」的關係那麼明顯。「亞洲人」這個概念,很明顯包括了「人」的元素。我們不會追問,究竟「人」這個概念,是如何嵌入「亞洲人」之中?但是,我們卻可以繼續追問,究竟「歸納法」這個概念,是如何嵌入「理性」之中呢?

— Me@2012.11.05

2012.11.06 Tuesday (c) All rights reserved by ACHK