ABCDE: An Agent-Based Cognitive Development Environment
Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan

TL;DR
The paper introduces ABCDE, a 3D interactive environment designed to simulate naturalistic childhood learning, enabling the study of high-level concept acquisition through learner-teacher interactions.
Contribution
It presents the first environment focused on high-level concept learning in a naturalistic setting using interactive objects and actions.
Findings
Over 300 unique 3D objects included
Supports complex learner-teacher interactions
Aims to facilitate research in cognitive development modeling
Abstract
Children's cognitive abilities are sometimes cited as AI benchmarks. How can the most common 1,000 concepts (89\% of everyday use) be learnt in a naturalistic children's setting? Cognitive development in children is about quality, and new concepts can be conveyed via simple examples. Our approach of knowledge scaffolding uses simple objects and actions to convey concepts, like how children are taught. We introduce ABCDE, an interactive 3D environment modeled after a typical playroom for children. It comes with 300+ unique 3D object assets (mostly toys), and a large action space for child and parent agents to interact with objects and each other. ABCDE is the first environment aimed at mimicking a naturalistic setting for cognitive development in children; no other environment focuses on high-level concept learning through learner-teacher interactions. The simulator can be found at…
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Taxonomy
TopicsReinforcement Learning in Robotics · Robotics and Automated Systems · AI-based Problem Solving and Planning
