什麼是 act-r model builder?
指導 ACT-R 認知模型建構:區塊類型、產生規則、子符號參數和模型驗證 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
指導 ACT-R 認知模型建構:區塊類型、產生規則、子符號參數和模型驗證
透過命令列快速安裝 act-r model builder AI 技能到你的開發環境
來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
This skill encodes expert knowledge for constructing computational cognitive models within the ACT-R (Adaptive Control of Thought -- Rational) architecture. It provides guidance on chunk type definition, production rule authoring, subsymbolic parameter selection with empirically validated defaults, model fitting workflows, and validation procedures. A general-purpose programmer would not know the architecture cons...
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
ACT-R is a hybrid cognitive architecture with symbolic and subsymbolic components (Anderson, 2007; Anderson & Lebiere, 1998).
指導 ACT-R 認知模型建構:區塊類型、產生規則、子符號參數和模型驗證 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
為搜尋與 AI 引用準備的穩定欄位與指令。
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill act-r model builderBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
指導 ACT-R 認知模型建構:區塊類型、產生規則、子符號參數和模型驗證 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill act-r model builder 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills