Neuroscience-grounded memory for AI agents — ACT-R activation, Ebbinghaus forgetting, Memory Chain consolidation, dopaminergic reward. Drop-in replacement for naive vector stores.
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- Python
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act-r
Here are 33 public repositories matching this topic...
🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format
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- Go
Predictive human performance modeling for UI/UX design
ux ibm human-computer-interaction carnegie-mellon-university human-performance mockups cognitive-architecture act-r cognitive-modeling cogtool
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- Java
Mirror of the official ACT-R Lisp implementation
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- Common Lisp
A Julia Package for the ACT-R Cognitive Architecture
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- Julia
Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model
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- Python
A set of tutorials for building likelihood based models in ACT-R
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- Julia
A Julia package for the ACT-R cognitive architecture
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- Julia
A Python implementation of the ACT-R cognitive Architecture
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- Python
A module to replace ACT-R's utility module with classic RL theory algorithms
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- Common Lisp
Visual Studio Code proof of concept plugin for the ACT-R project http://act-r.psy.cmu.edu/
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Cognitive architecture for emergent AI identity — blank slate to selfhood through lived experience
cognitive-architecture act-r strange-loop llm-agent agent-autonomy default-mode-network emergent-identity dual-process artificial-selfhood blank-slate
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- Python
A model of how reinforcement learning parameters affect performance on Raven's matrices
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- HTML
ACT-R Interactive Demo using Lemonade as a Case Study
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- JavaScript
Delayed Rule Inferral (Delayed vs Prepared control of motor responses)
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- HTML
A Julia package for an ACT-R model of fatigue on the psychomotor vigilance test
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- Julia
Mental folding experiment and model for ACT-R. Contains simple behavioral data to match simulation output against.
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- Common Lisp
Cognitive memory substrate for AI agents that encodes selectively, consolidates autonomously, and shares context across sessions.
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- Python
Wordwar game implementation for App-lab course
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- Java
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