From 2be2c544f43492457f1b8a171392852ea4ec4b40 Mon Sep 17 00:00:00 2001 From: giteadmin Date: Sat, 14 Dec 2024 19:30:39 +0100 Subject: [PATCH] add links --- vision.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision.md b/vision.md index 4d535b7..67ca003 100644 --- a/vision.md +++ b/vision.md @@ -13,7 +13,7 @@ Genetic algorithms (GAs) are optimization techniques inspired by the process of - **Selection:** The process of choosing the best-performing solutions to carry forward. - **Crossover and Mutation:** Methods to combine and modify solutions, creating new ones that explore the problem space. -Through repeated iterations, GAs converge toward optimal or near-optimal solutions, making them highly effective for solving complex, dynamic problems. GAs have recently gained momentum with the development of the Push 3 language by Lee Spector. Push 3’s compact and efficient architecture shares similarities with stack-based virtual machine systems like the Ethereum Virtual Machine (EVM). Although not designed specifically for EVMs, Push 3’s simplicity and flexibility make it conceptually compatible with blockchain execution environments. Push 3 has achieved milestones such as evolving programs for quantum computers and supporting autoconstructive evolution. A Push 3 VM could facilitate the deployment of genetic algorithms in decentralized systems, leveraging Push 3’s support for expressive program evolution and adaptive behavior in tasks like resource optimization. +Through repeated iterations, GAs converge toward optimal or near-optimal solutions, making them highly effective for solving complex, dynamic problems. GAs have recently gained momentum with the development of the [Push 3 language](http://faculty.hampshire.edu/lspector/push3-description.html) by Lee Spector. Push 3’s compact and efficient architecture shares similarities with stack-based virtual machine systems like the Ethereum Virtual Machine (EVM). Although not designed specifically for EVMs, Push 3’s simplicity and flexibility make it conceptually compatible with blockchain execution environments. Push 3 has achieved milestones such as evolving [programs for quantum computers](https://faculty.hampshire.edu/lspector/aqcp/) and supporting autoconstructive evolution. A Push 3 VM could facilitate the deployment of genetic algorithms in decentralized systems, leveraging Push 3’s support for expressive program evolution and adaptive behavior in tasks like resource optimization. ## On Agents