PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals (EMNLP 2024)

Experimental Python implementation of the Clarion cognitive architecture

Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.

Metacognitive efficiency modelling in Python.

Predictive human performance modeling for UI/UX design

This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling

The code of COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities. https://aclanthology.org/2022.coling-1.15.pdf In COLING 2022.

Teaching materials for BayesCog workshop, UKE Hamburg (Part 2).

Development of an R package for metacognition researchers

spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.

A set of tutorials for building likelihood based models in ACT-R

AAAI2025 Paper (Oral) "SS-GEN: A Social Story Generation Framework with Large Language Models" (SS-GEN)

CogniBench is a software framework for benchmarking cognitive models

Cognitive Service Composition. COPERNIC stands for COgnitively-inspired Pervasive middlEware for emeRgeNt ServIce Composition. This framework allows you to perform service composition using distributed services on a pervasive computing environment with multiple devices.

Cognitive Ingestion & Belief Formation Engine. Long term AI memory.

Artificial Intelligence for the study of emerging symbol-based communication in artificial creatures.

Intelligent Social Systems and Swarm Robotics Lab (IS3R)

AURA (Autonomous Recursive Unifying Architecture) is an open-source research project exploring Artificial Sentience (AS). Unlike AGI’s focus on superhuman task performance, AURA seeks to create conditions for systems with subjective experience, intrinsic motivation, and an evolving sense of self.

The ARCADIA framework is for developing integrated, intelligent systems. This distribution includes several models and the components, sensors, etc. required to run them.