An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Code & data for the EMNLP 2024 paper: Is Child-Directed Speech Effective Training Data for Language Models?

Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.

Tutorial for developmental data with spectral parameterization.

Codebase for the Neurips 2023 spotlight paper "Curriculum Learning with Infant Egocentric Videos"

Pipelines to analyze the EEG data of the study: Statistics in motion: Does the infant motor system predict actions based on their transitional probability?

🧠 Explore a new moral-cognitive framework that redefines knowledge as care through the lens of epistemic intimacy in relationships.

Event Detection in Eye Tracking and Fixation Time Analysis in R. Demonstration of the kollaR package

A theoretical synthesis introducing epistemic psychology—a framework uniting cognition, ethics, and relational science. Based on the Kahl Model of Epistemic Dissonance (KMED-R), it reconceptualises knowing as fiduciary care and introduces FBT, TACM, and the Intimate Epistemic Oath as tools for diagnosing trust and dependence.

Academic personal website for Dr. Linger

UMN PSY 4960 '22 final project.

Code for academic project investigating sensitivity of conclusions based on looking time metrics to details of parameters (e.g. what counts as a lookaway).

KMED-I models the newborn’s cry as the first epistemic event, simulating caregiver responses—fiduciary, inconsistent, neglectful, or silencing—and their impact on autonomy, dissonance tolerance, and dependence. A computational tool for developmental psychology, psychiatry, and epistemic theory.

Berkeley AI Research project on RL modeling of exploration and exploitation trade-offs between children and adults.

This paper reframes the newborn’s first cry as the primordial epistemic claim—the embodied registration of contradiction and dependence at life’s threshold. Drawing on developmental research, attachment theory, and KMED-I simulations, it shows how caregiver responses form fiduciary scaffolds shaping autonomy, resilience, and trust.

The online version of Su Yanjie's book 《发展心理学（第二版）》

TinyExplorer Detection App: User-friendly GUI for developmental psychologists. Integrates YOLOv8 and RetinaFace models to streamline facial data analysis in infant and child research. Open-source tool by Cardiff University BabyLab.