Research Papers
Peer-reviewed and academic publications on cognitive infrastructure, AI governance, and human-AI collaboration.
Publications
Research for Human-Centered Cognitive Infrastructure
AEGT publishes research papers, technical reports, conceptual frameworks, and working papers related to human-centered cognitive infrastructure.
Our publications contribute to ongoing discussions in human cognitive agency, AI literacy, cognitive governance, human-AI collaboration, semantic systems, knowledge infrastructure, and executable cognition.
We believe that foundational knowledge for cognitive infrastructure should be broadly accessible. Whenever possible, publications are released through open-access channels.
Publication Types
Working Papers
Early-stage research and conceptual development shared for discussion, critique, and collaborative refinement.
Technical Reports
Frameworks, methodologies, and implementation guidance for researchers and practitioners.
Position Papers
Strategic perspectives on emerging challenges in AI, cognition, governance, and education.
Research Themes
Explore publications by theme:
Trust Reports & Policy Papers
Trust reports and policy papers.
Three Cognitive Maps
Li et al. (2026). Knowledge, Skills, and the Missing Cognitive Infrastructure in Education and Employment. Trust report.
Teacher Training and the Missing Cognitive Map
Li et al. (2026). The Case for Panoramic Decision Simulation. Policy report.
CDC Domain Algebra and Related arXiv Series
Li et al. (2025–2026). A published arXiv series on domain-constrained reasoning, explicit-domain inference, reasoning-as-data, DALM, and ternary memristive logic.
Open Access
Publicly accessible papers.
How Should AI Knowledge Be Governed?
Li et al. (2026). Epistemic Authority, Structural Transparency, and the Case for Open Cognitive Graphs.
Ternary Memristive Logic: Hardware for Reasoning Realized via Domain Algebra
Li et al. (2026). Hardware realization of reasoning through a domain-algebraic framework.
DALM: A Domain-Algebraic Language Model via Three-Phase Structured Generation
Li et al. (2026). A domain-algebraic language model built around structured generation phases.
Reasoning as Data: Representation-Computation Unity and Its Implementation in a Domain-Algebraic Inference Engine
Li et al. (2026). A domain-algebraic inference engine built from the principle that reasoning and representation are unified data structures.
Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning
Li et al. (2026). A computable graph architecture for explicit-domain reasoning.
Domain-constrained knowledge representation: A modal framework
Li et al. (2026). A modal framework for domain-constrained knowledge representation.