Autonomous Cognitive Simulation Framework for AI-Powered Education
A research-grade, open-source multi-agent cognitive simulation framework that models human knowledge acquisition using on-device neural networks, vector-space semantics, and thermodynamic entropy analysis.
Pure NumPy MLP with real backpropagation
20+ autonomous agents in collaborative environments
Extended RLHF with cognitive penalty terms
Collaborative research and federated evaluation
Open-source academic credential verification prototype
A public framework for exploring evidence mapping, review workflows, and transparent credential verification in the age of synthetic data.
Pixel-level and OCR-based AI artifact detection
Institution evidence with ROR lookup
Evidence-weighted consistency checks
Transparent review records for credentials
Learn how ACLAS integrates open-source AI innovation with responsible and sustainable education practices.