🔃 Cybernetics Reading Club
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Updated
Dec 13, 2017 - HTML
🔃 Cybernetics Reading Club
A collection of awesome software, libraries, learning tutorials, documents and books, technical resources and cool stuff about Blue Team in Cybersecurity.
AI Software Runtime(ASR)是一套面向 AI 编程任务的自治式软件工程运行时。 其核心目标不是让 AI 更会写代码,而是让 AI 生成的软件能够稳定收敛。
用钱学森工程控制论重塑 AI Agent 架构。前馈、积分控制、层级分离、自监控——让 Agent 真正懂你。—— Feedforward, integral control, hierarchical decomposition, and self-monitoring for a self-evolving agent that truly understands you.
Standard of Open Semantic Technology for designing Intelligent Systems
Runtime-adaptive steering layer and portable control contract for hard agentic work: durable goals, proportional control, bounded delegation, verification, and recovery.
ZINC is an indie project supported by the community. Thank you!
A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT
Neural Net Bacteria - Creating bacterial colonies that will learn to play Pong, Go, DOOM, and encode/decode signals
Organize your AI agent teams with the Viable System Model. The missing organizational layer for multi-agent systems.
Complete alignment and safety architecture for autonomous AI agents. Membrane security, continuous trust verification, epistemic hygiene, emergence protocols, and defence tools. 30 years of cybernetic research — deployable today.
An LLM-ready digital reconstruction of QIAN Xuesen's "Engineering Cybernetics"(3rd). High-fidelity Markdown/LaTeX corpus optimized for AI Agent reasoning and RAG workstreams.
Official Github Repository for Neo-Cybernetics, a discipline that introduces a holistic paradigm for understanding the driving forces and flows of systems, be they natural, technological or sociocultural.
Memory with a Conscience.
A set of curated resources for exploring the field of Cybernetics
Agentic multi-agent runtime inspired by cybernetics, Stafford Beer’s Viable Systems Model, and systems theory.
A blog about Economics, Bayesian data analysis, machine learning, complexity economics and critical thinking
Library for generating laws of adaptive control with identification
A machine learning framework, dataset and research sub-module about coevolutionary planetary intelligence dynamics. This project explores how nurturing its emergent patterns may lead to a synergistic increase in the overall capability and intelligence of both individual agents and the collective system.
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