Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/2d1ffa9d-51d4-4f5d-a53d-7005d7be0ad7
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== Assistant: Yes, I can help you create a code framework to visualize this concept, where the path through a Mandelbrot-like fractal… === Yes, I can help you create a code framework to visualize this concept, where the path through a Mandelbrot-like fractal evolves based on inputs that represent individual and collective choices. To do this, I will create a Python program using matplotlib and numpy to generate a Mandelbrot fractal and allow you to interactively modify the parameters that influence the path taken through the fractal on both the micro (individual) and macro (collective) levels. Here's a high-level breakdown of the process: # Mandelbrot fractal generation: The core fractal visualization will be based on the Mandelbrot set. # Choice inputs: Inputs like emotion, energy, intent, and choice difficulty will affect the constants in the fractal generation formula, altering the path taken through the fractal. # Visualization: You will be able to adjust the inputs interactively, and see how the path shifts based on those choices. I will start by generating the Mandelbrot set and allowing some inputs that represent individual-level choices. Then, I'll build upon this to reflect collective choices, where you can see how paths change for a larger subset (representing society or humanity as a whole). I'll provide an initial framework and then we can extend it further for greater flexibility. Let me start with the code.
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)