{"id":21435583,"url":"https://github.com/mountain/peircemachine","last_synced_at":"2026-03-19T20:24:30.250Z","repository":{"id":136939317,"uuid":"214787063","full_name":"mountain/PeirceMachine","owner":"mountain","description":"A collection of references, documents and thinking of Peirce's Semiotic theory","archived":false,"fork":false,"pushed_at":"2021-11-01T06:47:05.000Z","size":14,"stargazers_count":4,"open_issues_count":3,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-07-24T09:15:34.333Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mountain.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2019-10-13T08:38:30.000Z","updated_at":"2025-03-06T14:37:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"1b9e788a-64ab-4fcf-8adc-4d7c645cd244","html_url":"https://github.com/mountain/PeirceMachine","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mountain/PeirceMachine","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mountain%2FPeirceMachine","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mountain%2FPeirceMachine/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mountain%2FPeirceMachine/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mountain%2FPeirceMachine/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mountain","download_url":"https://codeload.github.com/mountain/PeirceMachine/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mountain%2FPeirceMachine/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29134249,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-05T20:50:26.975Z","status":"ssl_error","status_checked_at":"2026-02-05T20:49:26.082Z","response_time":65,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-22T23:44:41.409Z","updated_at":"2026-02-05T21:04:15.618Z","avatar_url":"https://github.com/mountain.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# PeirceMachine\n\n本项目发端于几个朋友的一次聊天，我们在讨论人类智能的某种深刻的能力：如果把自然的复杂性比喻为中国古典文学中的混沌，那么人类有一种独特的能力，仿佛盘古开天辟地，能够从混沌中力辟出一条界限；这界限的一侧是一片澄明之地，这里可以被清晰的语言和逻辑所把握；而界限的另一侧，在语言的边界之外，不可言说、幽深且玄妙。这些都是反复被先贤讨论过的老话题，并不为奇。但有趣的是，一位朋友指出来，在皮尔斯的符号学里，有对此的表述，称之为：\n\n* 第一性（Firstness），从量（quantity）的角度考察，体现为混沌（vagueness），在符号的创造之前\n* 第二性（Secondness），从量的角度考察，体现为颗粒化（singularity, discreteness, \"this\"），是符号的创造之初\n* 第三性（Thirdness），从量的角度考察，体现为泛化（generality, continuity, \"all\"），是一种抽象提升，赋予了符号新的意义，完成了符号的创造\n\n在朋友看来，人类有几个不同的实践领域—数学、物理学和诗学，虽然它们的趣旨不同，但却都有同样的符号学上的实践模式，符号的体验、发现、解释的过程是层层累积，新的符号踏在旧的符号基础上，建成了庞大的符号世界。\n\n1950 年代香农创建了信息论，但是它的前提有一个固定的符号表，可是我们知道符号都是从无到有的，所以有比香农的信息论更深刻的理论。1930 年代，人类给出了几种不同的可计算性的定义，图灵在用纸、笔来思考的隐喻启发下，提出了图灵机的概念。有没有可能，在皮尔斯的理论启发下，给出一种皮尔斯机呢？在 AI 技术迅猛发展的今天，这是更有意义的问题。为什么 AI 领域的工作者不去借鉴前人的深刻思考呢？\n\n所以，我们想带着问题，去读书和思考，去探索，不一定需要要达成什么固定的目标。这里是这次探险过程的记录。\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmountain%2Fpeircemachine","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmountain%2Fpeircemachine","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmountain%2Fpeircemachine/lists"}