ACT-R Model Builder
CommunityGuided ACT-R modeling with validated parameters.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The ACT-R Model Builder provides structured guidance and templates to construct, tune, and validate ACT-R cognitive models, reducing the expertise barrier and speeding up model development.
Core Features & Use Cases
- Define chunk types and slots for declarative knowledge, and craft production rules to implement task logic.
- Configure subsymbolic parameters, handle model fitting workflows, and perform validation to ensure predictive accuracy.
- Compare ACT-R variants (e.g., ACT-R 7.x vs. pyactr) and leverage reference materials to support model decisions.
- Real-world use: build a memory retrieval or decision-making model and validate against RT/accuracy data with a transparent parameter setup.
Quick Start
Install the ACT-R Model Builder skill and start by outlining a simple memory retrieval model and its validation plan.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ACT-R Model Builder Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#act-r-model-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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