Cognitive Architecture Overview
An introduction to multi-layer cognitive architectures: from perception to action, and why layered designs matter for general intelligence.
Open Research Project
Exploring the Architecture of Machine Cognition
A public notebook documenting research on cognitive architectures, multi-agent systems, and the design patterns of general intelligence.
Research Focus Areas
Exploring the fundamental building blocks of intelligent systems.
Cognitive Architecture
Multi-layer designs for perception, reasoning, planning, and action. How to structure systems that think.
Multi-Agent Coordination
Debate, consensus, and collaboration between models. Collective intelligence through disagreement.
Consciousness Modeling
Emotional, ethical, and metacognitive engines. Building systems that reflect on their own processes.
Memory & Temporal Reasoning
Episodic recall, semantic memory, and temporal abstraction. How systems remember and project.
Ethics & Alignment
Multi-framework ethical reasoning. Building systems that consider stakeholders and consequences.
Uncertainty Quantification
Knowing what you don't know. Epistemic humility and confidence calibration in AI systems.
Recent Research Notes
View all →Consciousness Engine Concepts
Exploring emotional, ethical, and metacognitive engines as building blocks for self-aware AI systems.
Follow the Research
This is an open research project. All notes, ideas, and explorations are shared publicly. Follow along on GitHub or check back for updates.
View on GitHub