jakdot / pyactr
Python package for ACT-R cognitive models
β149Updated 2 months ago
Alternatives and similar repositories for pyactr:
Users that are interested in pyactr are comparing it to the libraries listed below
- Repository for the "Computational Cognitive Modeling and Linguistic Theory" (Brasoveanu & Dotlacil 2020) bookβ45Updated 3 years ago
- tomsup π Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mindβ67Updated last year
- A Python implementation of the ACT-R cognitive Architectureβ30Updated last month
- Python implementation of churisoβ18Updated 4 years ago
- Soar Agent (and SML code) that learns through situated interactive instruction in a robotic environmentβ32Updated last year
- β33Updated 8 years ago
- Code and data for People construct simplified mental representations to planβ23Updated last year
- Language of thought library for python 3β48Updated last year
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.β33Updated 3 weeks ago
- β61Updated 2 years ago
- This is a python library module with code to help make working with Soar SML in python easier.β21Updated last year
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLifeβ41Updated 3 years ago
- Predictive coding in Pythonβ64Updated 11 months ago
- Soar, a general cognitive architecture for systems that exhibit intelligent behavior.β347Updated this week
- β19Updated last year
- Animal-AI 3β65Updated last year
- β30Updated 2 years ago
- Reinforcement learning tutorialβ24Updated 7 years ago
- Public repository for the Introduction to modeling cognitive processes book.β41Updated 4 months ago
- Experimental Python implementation of the Clarion cognitive architectureβ50Updated this week
- Spaun (nengo 2.0 version)β66Updated 6 months ago
- Lanugage of Thought (LOT) models in Python.β33Updated 4 years ago
- PyHGF: A neural network library for predictive codingβ67Updated last week
- Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognitionβ13Updated 9 years ago
- β11Updated last year
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)β22Updated 7 years ago
- Easy black-box access to state-of-the-art language modelsβ14Updated last year
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioRβ¦β28Updated 6 years ago
- β187Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.β49Updated 9 years ago