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#cellularautomata

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Stars Reach doesn’t look like you remember

I've been remiss in posting updates on Stars Reach here. I mean, the Kickstarter finished back in March (late pledges still accepted)! Today, though, I want to brag about our awesome AI and proc gen driven worlds.

Over the last few releases, we have been rolling out yet

raphkoster.com/2025/06/20/star

Raph's Website · Stars Reach doesn’t look like you rememberI’ve been remiss in posting updates on Stars Reach here. I mean, the Kickstarter finished back in March (late pledges still accepted)! Today, though, I want to brag about our awesome AI and p…
#GameTalk#Gamemaking#ai
Did a Python implementation of my new display idea and I love it.

Whenever someone sends data to the nuclear reactor honeypot, that data is used to generate a bunch of cells immediately, then while it's waiting for new connections it's just slowly generating cells based on whatever cellular automata rule it was left on.

This is gonna look so good on an Inkplate, some of the screens I've seen could be Game Boy graphics :-D

#projects #tarpit #honeypot #cellularautomata

Exploring “The Multiplicity Effect” in cellular automata!

My new experiments reveal what happens when we scale from classical one to 2, 3, 4, or 5 initial points across different grid positions. Rules creates particularly mesmerizing patterns when using multicolor palettes.

jsamwrites.medium.com/the-mult

Medium · The Multiplicity Effect: Scaling Initial Points in Cellular Automata SystemsVon John Samuel

Most textbook examples use somewhat boring monochrome visuals for Cellular Automata. In a series of posts, I’m exploring how to bring these lifelike systems to life through color. Here's the first one, where I experiment with color gradients to paint evolving landscapes.

jsamwrites.medium.com/painting

Medium · Painting Landscapes: Cellular Automata Through Color GradientsVon John Samuel

For what I'm reading now the system I've independently developed is closest in spirit to Reservoir Computing, Artificial Life, and Agent-Based Modeling, and to a certain extent, to the broader field of Decentralised AI. It shares their focus on emergent behaviour from local interactions, but it's differentiated by its lack of explicit learning mechanisms, optimisation goals, and symbolic reasoning, making it a distinct kind of complex system simulation rather than a direct mapping to any AI technique.

The core idea is using dynamical systems, with their own complex local rules and interactions, to observe the system-level behaviour. It's a simulation model designed to explore a particular set of dynamics rather than a direct implementation of a learning model. This makes it a valuable tool in complex systems research, even if it is independently developed and not aligned with the mainstream of modern AI techniques.

The animation shows it's stable after 30000 cycles, with no new energy injected into the system.

Today I’ve embraced my latest hyperfixation: #CellularAutomata, specifically #ConwaysGameOfLife!

I’ve heard of it but never got into it until recently. I’m still learning all the terminologies, but it’s amazing what people can come up with.

Here’s a pattern I found just now, which I’ll name Dudley since it looks like the word “DUD”. These 21 pixels animate until the 1,279th generation, where it settles on 232 pixels. This will entertain me for months :MOULE_Ha: