-
-
Notifications
You must be signed in to change notification settings - Fork 3
/
intelligence.scroll
49 lines (32 loc) · 1.04 KB
/
intelligence.scroll
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
date 6/6/2024
openGraphImage intelligence.png
tags All Programming Scroll ScrollPapers
title ICS: A Measure of Intelligence
header.scroll
printTitle
printAuthors
printDate
HTML | TXT
class scrollDateline
style text-align: center;
intelligence.html HTML
link intelligence.txt TXT
mediumColumns 1
Can we quantify intelligence? Yes.
br 2
center
katex
{Intelligence}(P) = \frac{\text{Coverage}(P)}{\text{Size}(P)}
plainTextOnly Intelligence(P) = Coverage(P) / Size(P)
br 2
Program P is a bit vector that can make a bit vector (Predictions) that attempts to predict a bit vector of actual measurements (Nature).
Coverage(P) is the sum of the XNOR of the Predictions vector with the Nature vector.
Intelligence(P) is equal to Coverage(P) divided by Size(P).
***
If programs A and B are the same size, the program with more coverage is more intelligent.
If they have the same coverage, the smaller program is more intelligent.
// A measure that includes energy may be even more intelligent.
****
# Related Posts
printRelated ScrollPapers
footer.scroll