什么是 act-r model builder?
指导 ACT-R 认知模型构建:块类型、产生规则、子符号参数和模型验证 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
指导 ACT-R 认知模型构建:块类型、产生规则、子符号参数和模型验证
通过命令行快速安装 act-r model builder AI 技能到你的开发环境
来源: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).
指导 ACT-R 认知模型构建:块类型、产生规则、子符号参数和模型验证 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
为搜索与 AI 引用准备的稳定字段与命令。
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
指导 ACT-R 认知模型构建:块类型、产生规则、子符号参数和模型验证 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill act-r model builder 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills