Mazes in general (and hence algorithms to create Mazes) can be organized along seven different classifications. These are: Dimension, Hyperdimension, Topology, Tessellation, Routing, Texture, and Focus. A Maze can take one item from each of the classes in any combination.
Self-organizing systems: what, how, and why?
I present a personal account of self-organizing systems, framing relevant questions to better understand self-organization, information, complexity, and emergence. With this aim, I start with a notion and examples of self-organizing systems (what?), continue with their properties and related concepts (how?), and close with applications (why?) in physics, chemistry, biology, collective behavior, ecology, communication networks, robotics, artificial intelligence, linguistics, social science, urbanism, philosophy, and engineering.
Reticulum Network
For the better part of a generation, we have been taught to visualize the digital world through the lens of hierarchy. The mental maps we carry are dominated by a single, misleading image: The Cloud.
Alpaca – Algorithmic Pattern Catalogue
The Alpaca 2025 festival and conference on algorithmic patterns in the creative arts is happening this September 2025. Please see…
NeuroAI
Neuroscience, cognitive science, and AI are all questing for principles that help generalization. Learn more through a live, synchronous program designed for focused, hands-on learning.
Sorting Things Out: Classification and Its Consequences
Classification and Its Consequences
Pluralistic: Big Tech’s “attention rents” (03 Nov 2023) – Pluralistic: Daily links from Cory Doctorow
The thing is, any feed or search result is "algorithmic." "Just show me the things posted by people I follow in reverse-chronological order" is an algorithm. "Just show me products that have this SKU" is an algorithm. "Alphabetical sort" is an algorithm. "Random sort" is an algorithm.
Room-based maps
There are a couple of different ways to go about creating room-based maps. We'll look at doing this by generating random rectangles, by using random BSP trees and Waveform Function Collapse (WFC).
Agent Memory Patterns
A short HOW TO guide for agent memory systems. Especially the difference between blocks, files and skills.
The Global Brain Algorithm
<p>This is a collection of explanations on the global brain algorithm. We explain core concepts in simple terms that help to understand the algorithms as a whole.</p>
Exploring Rectangle Subdivisions
Last week, I saw a talk on Vuntra City, a procedurally generated city with a fully explorable city. Developer Larissa Davidova explained that she settled on using Recursive Subdivision for the city…
Alpaca Conference
Alpaca conference will feature 35 speakers and workshop leaders exploring algorithmic patterns in the creative arts, showcasing pattern-based work across music, textiles, dance and more.
Categories for Machine Learning
This seminar series seeks to promote the learning and use of Category Theory by Machine Learning Researchers
Train Layout Essentials For The Layout Room
Some thoughts on a taxonomy of ATmospheric apps. I see an ecosystem developing with three categories: - Symbionts, tightly coupled with Bsky; - Offshoots, growing large, parallel communities; and - Cuckoos, which scan as skeuomorphic clones on ATproto but go beyond. numergent.com/2026-04/A-taxonomy-of-ATmosph…
A taxonomy of ATmosphere applications
numergent.com
