+ All Categories
Home > Documents > Inductive inference

Inductive inference

Date post: 15-Mar-2016
Category:
Upload: abia
View: 37 times
Download: 0 times
Share this document with a friend
Description:
Inductive inference. Based on Graham Priest’s Logic: A very short introduction, 2000 Translation Petr Hromek (Logika, Dokořán 2007). The Red-Headed League. - PowerPoint PPT Presentation
Popular Tags:
46
1 Inductive inference Based on Graham Priest’s Logic: A very short introduction, 2000 Translation Petr Hromek (Logika, Dokořán 2007)
Transcript
Page 1: Inductive inference

1

Inductive inference

Based on Graham Priest’s Logic: A very short introduction, 2000Translation Petr Hromek (Logika, Dokořán 2007)

Page 2: Inductive inference

2

The Red-Headed League Sherlock Holmes's quick eye took in my occupation, and he shook his head with a smile as he noticed my

questioning glances. "Beyond the obvious facts that he has at some time done manual labor, that he takes snuff, that he is a Freemason, that he has been in China, and that he has done a considerable amount of writing lately, I can deduce nothing else.”

Mr. Jabez Wilson started up in his chair, with his forefinger upon the paper, but his eyes upon my companion.

How, in the name of good fortune, did you know all that, Mr. Holmes?" he asked. "How did you know, for example, that I did manual labor? It's as true as gospel, for I began as a ship's carpenter."

"Your hands, my dear sir. Your right hand is quite a size larger than your left. You have worked with it and the muscles are more developed."

"Well, the snuff, then, and the Freemasonry?" "I won't insult your intelligence by telling you how I read that, especially as, rather against the strict rules

of your order, you use an arc and compass breastpin." "Ah, of course, I forgot that. But the writing?" "What else can be indicated by that right cuff so very shiny for five inches, and the left one with the

smooth patch near the elbow where you rest it upon the desk." "Well, but China?" "The fish which you have tattooed immediately above your wrist could only have been done in China. I

have made a small study of tattoo marks, and have even contributed to the literature of the subject. That trick of staining the fishes' scales of a delicate pink is quite peculiar to China. When, in addition, I see a Chinese coin hanging from your watch chain, the matter becomes even more simple."

Arthur Conan Doyle: Red-headed League

http://www.eastoftheweb.com/short-stories/UBooks/RedHead.shtml

Page 3: Inductive inference

3

The Red-Headed League Sherlock Holmes's quick eye took in my occupation, and he shook his head with a smile as he noticed my

questioning glances. "Beyond the obvious facts that he has at some time done manual labor, that he takes snuff, that he is a Freemason, that he has been in China, and that he has done a considerable amount of writing lately, I can deduce nothing else.”

Mr. Jabez Wilson started up in his chair, with his forefinger upon the paper, but his eyes upon my companion.

How, in the name of good fortune, did you know all that, Mr. Holmes?" he asked. "How did you know, for example, that I did manual labor? It's as true as gospel, for I began as a ship's carpenter."

"Your hands, my dear sir. Your right hand is quite a size larger than your left. You have worked with it and the muscles are more developed."

"Well, the snuff, then, and the Freemasonry?" "I won't insult your intelligence by telling you how I read that, especially as, rather against the strict rules

of your order, you use an arc and compass breastpin." "Ah, of course, I forgot that. But the writing?" "What else can be indicated by that right cuff so very shiny for five inches, and the left one with the

smooth patch near the elbow where you rest it upon the desk." "Well, but China?" "The fish which you have tattooed immediately above your wrist could only have been done in China. I

have made a small study of tattoo marks, and have even contributed to the literature of the subject. That trick of staining the fishes' scales of a delicate pink is quite peculiar to China. When, in addition, I see a Chinese coin hanging from your watch chain, the matter becomes even more simple."

Arthur Conan Doyle: Red-headed League

http://www.eastoftheweb.com/short-stories/UBooks/RedHead.shtml

Page 4: Inductive inference

4

The Red-Headed League Sherlock Holmes's quick eye took in my occupation, and he shook his head with a smile as he noticed my

questioning glances. "Beyond the obvious facts that he has at some time done manual labor, that he takes snuff, that he is a Freemason, that he has been in China, and that he has done a considerable amount of writing lately, I can deduce nothing else.”

Mr. Jabez Wilson started up in his chair, with his forefinger upon the paper, but his eyes upon my companion.

How, in the name of good fortune, did you know all that, Mr. Holmes?" he asked. "How did you know, for example, that I did manual labor? It's as true as gospel, for I began as a ship's carpenter."

"Your hands, my dear sir. Your right hand is quite a size larger than your left. You have worked with it and the muscles are more developed."

"Well, the snuff, then, and the Freemasonry?" "I won't insult your intelligence by telling you how I read that, especially as, rather against the strict rules

of your order, you use an arc and compass breastpin." "Ah, of course, I forgot that. But the writing?" "What else can be indicated by that right cuff so very shiny for five inches, and the left one with the

smooth patch near the elbow where you rest it upon the desk." "Well, but China?" "The fish which you have tattooed immediately above your wrist could only have been done in China. I

have made a small study of tattoo marks, and have even contributed to the literature of the subject. That trick of staining the fishes' scales of a delicate pink is quite peculiar to China. When, in addition, I see a Chinese coin hanging from your watch chain, the matter becomes even more simple."

Arthur Conan Doyle: Red-headed League

http://www.eastoftheweb.com/short-stories/UBooks/RedHead.shtml

Page 5: Inductive inference

5

Example 1

Guess a number.

Page 6: Inductive inference

6

Example 1

Guess a number.

Given a number, guess the next

Page 7: Inductive inference

7

Example 1

Guess a number.your guess

Page 8: Inductive inference

8

Example 1

Guess a number.your guess

1 Next ?

Page 9: Inductive inference

9

Example 1

Guess a number.your guess

1 Next ? 2

Page 10: Inductive inference

10

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ?

Page 11: Inductive inference

11

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3

Page 12: Inductive inference

12

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ?

Page 13: Inductive inference

13

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4

Page 14: Inductive inference

14

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ?

Page 15: Inductive inference

15

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7

Page 16: Inductive inference

16

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7Yes, 7. Next ?

Page 17: Inductive inference

17

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7Yes, 7. Next ? 11

Page 18: Inductive inference

18

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7Yes, 7. Next ? 11Yes, 11. Next?

Page 19: Inductive inference

19

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7Yes, 7. Next ? 11Yes, 11. Next? prime numbers ?

Page 20: Inductive inference

20

Example 1

Guess a number.your guess

1 Next ? 2Yes, 2. Next ? 3Yes, 3. Next ? 4No, 5. Next ? 7Yes, 7. Next ? 11Yes, 11. Next? prime numbers ?Yes.

Page 21: Inductive inference

21

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

Page 22: Inductive inference

22

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?

Page 23: Inductive inference

23

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference

Page 24: Inductive inference

24

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?

Page 25: Inductive inference

25

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer

Page 26: Inductive inference

26

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?

Page 27: Inductive inference

27

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?• a1, a2, a3, … must be “representative”

Page 28: Inductive inference

28

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?• a1, a2, a3, … must be “representative”Example:

0, 0, 0, Next?

Page 29: Inductive inference

29

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?• a1, a2, a3, … must be “representative”Example:

0, 0, 0, Next? 0

Page 30: Inductive inference

30

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?• a1, a2, a3, … must be “representative”Example:

0, 0, 0, Next? 0 No, 6

Page 31: Inductive inference

31

Example 1: Guess a number

• Knowing a1, a2, a3, … , find a function f(n) = an

• Can we always find a solution?• f(i) must be fixed during the process of inference• Can we always find a solution?• f(i) must not be dependent on the answer• Can we always find a solution?• a1, a2, a3, … must be “representative”Example:

0, 0, 0, Next? 0 No, 6f(n) = (n-1)*(n-2)*(n-3)

Page 32: Inductive inference

32

Example 2raining warm

Mon

Tue yes

Wed yes yes

Thu yes

Fri

Satyes yes

Sun yes

Page 33: Inductive inference

33

Example 2raining warm

Mon P(raining) =

Tue yes

Wed yes yes

Thu yes

Fri

Satyes yes

Sun yes

Page 34: Inductive inference

34

Example 2raining warm

Mon P(raining) = 3/7

Tue yes

Wed yes yes

Thu yes

Fri

Sat yes yes

Sun yes

Page 35: Inductive inference

35

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) =

Wed yes yes

Thu yes

Fri

Sat yes yes

Sun yes

Page 36: Inductive inference

36

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes

Thu yes

Fri

Sat yes yes

Sun yes

Page 37: Inductive inference

37

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) =

Thu yes Fri

Sat yes yes

Sun yes

Page 38: Inductive inference

38

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = = P(warm & raining)/p(raining)

Thu yes

Fri

Sat yes yes

Sun yes

Page 39: Inductive inference

39

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3

Fri

Sat yes yes

Sun yes

Page 40: Inductive inference

40

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = ? = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3P(¬warm|raining) =

Fri

Sat yes yes

Sun yes

Page 41: Inductive inference

41

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = ? = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3P(¬warm|raining) =

Fri = P(¬warm & raining)/p(raining)

Sat yes yes

Sun yes

Page 42: Inductive inference

42

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3P(¬warm|raining) =

Fri = P(¬warm & raining)/p(raining)

= (1/7)/(3/7) = 1/3Sat yes yes

Sun yes

Page 43: Inductive inference

43

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3P(¬warm|raining) =

Fri = P(¬warm & raining)/p(raining) = (1/7)/(3/7) = 1/3

Sat yes yes P(warm|raining) > P(¬warm|raining)

Sun yes

Page 44: Inductive inference

44

Example 2raining warm

Mon P(raining) = 3/7

Tue yes P(warm) = 4/7

Wed yes yes P(warm|raining) = ? = P(warm & raining)/p(raining)

Thu yes = (2/7)/(3/7) = 2/3P(¬warm|raining) =

Fri = P(¬warm & raining)/p(raining) = (1/7)/(3/7) = 1/3

Sat yes yes P(warm|raining) > P(¬warm|raining) =>

Sun yes warm inductively entails from the premise raining

Page 45: Inductive inference

45

Inductive entailment

P(H|E) > P(¬H|E) => H inductively entails from E

E … description of a reference group (database,corpus) E= E+ E-

E+ … positive examples, E- … negative examples

more than 2 classes: E= Ei

Hi = argmax(i) P(Hi|E)

Page 46: Inductive inference

46

Back to the Read-headed league

H = Jabez Wilson did manual labor¬H = Jabez Wilson did not manual labor

E = London inhabitants ? = rich people ? = Sherlock Holmes’ clients ? = human beings ?


Recommended