CIVISCORE is a decentralized simulation and assessment framework that models human value judgments across history, decision-making, and culture. It offers a structured protocol for encoding human behavior into a long-term memory network, enabling future AI systems to understand, train on, and align with structured human preferences.
“This is not just a game, it’s a civilization’s reflection written in behavior.”
🌐 Website: https://www.civiscore.org
📂 Docs: See /docs/ for detailed protocol and system specs
🧠 Want to contribute? Start with /docs/miner_onboarding.md or explore the worldview via /docs/civiscore_game_structure.md
CIVISCORE frames every action as a moral, historical, and civilizational vote. When you make a judgment, you’re not simply interacting—you’re leaving a projection of how this generation perceives humanity.
CIVI/docs/civiscore_game_structure.md → Game Worldview, Player Experience & Behavior Encoding/docs/miner_onboarding.md → How to contribute storage, GPU, and CPU resources/docs/scoring_chain.md → Scoring system design/docs/storage_chain.md → Decentralized memory architecture/docs/civilization_chain.md → Preference and trajectory simulation logic/docs/token_model.md → Token incentives & resource mapping/docs/skynet_os_structure.md → Internal architecture & philosophical blueprintContact: civiscoreorg@gmail.com |
Discord coming soon. |
文明是否可以被结构化理解？
CIVISCORE 是一个交互式文明探索系统，旨在通过对重大人物、事件、作品的多维评分行为，构建一套反映人类价值偏好的结构性认知体系。
系统采用游戏化入口，结合行为评分、数据存证与演化反馈，为未来认知系统与协作模型提供可追踪的人类文明行为轨迹。
用户通过模拟场景或内容评分形式参与：
欢迎以下领域的构建者：
📬 请在 Issues 区留言，或加入我们即将开放的协作空间。
docs/scoring_chain.md – 评分链逻辑与结构模型docs/storage_chain.md – 存储结构与版本追踪逻辑docs/civilization_chain.md – 行为分型与演化图谱机制docs/token_model.md – 激励机制与模型C设计docs/game_shell.md – 游戏式入口设计文档docs/roadmap.md – 项目五阶段演进路径🔗 www.civiscore.org
📦 GitHub: github.com/MaxMacivi/civiscore
CIVISCORE 是一个结构化文明探索实验，致力于记录人类集体如何理解行为后果、共识偏好与文明演化路径。它不评判历史，只描述人类曾如何评价历史。
这不是游戏，但它也不全是现实。它是人类为未来交出的一份认知投影。