Exploring the Frontiers of Intelligence, Networks, and Evolution
Self Stacked Systems is a self-generative and self-improving general-intelligence algorithm under development.
At Self-Stacked-Systems Co-Lab, we believe that intelligence—whether biological or artificial—emerges from the intricate interplay of complex networks, hierarchical structures, and dynamic systems. Our mission is to advance knowledge at the intersection of cognitive neuroscience, robotics, complex systems, and human evolution, forging a deeper understanding of intelligence in all its forms.
Our inspiration, Professor Michael Commons, associate Professor of Psychiatry at Harvard, has spent his career studying learning. First animals, then people, and now machines. A holder of several patents, his methods promise to continue the AI revolution for the benefit of human-machine interaction.
Check out our work, goals, latest developments, and news.
Our Vision
We envision a future where the principles of cognition, evolution, and technology converge to illuminate the mechanisms of adaptive intelligence. By bridging disciplines, we aim to decode the emergent properties of intelligence and apply these insights to create more resilient, adaptive, and ethical systems—both human and artificial.
Our Core Principles
- Interdisciplinarity – Innovation thrives where fields intersect. We embrace a fusion of neuroscience, computational cognition, robotics, and complexity science.
- Collaboration – Discovery is a collective endeavor. We cultivate a research environment where diverse perspectives and expertise merge to tackle fundamental questions.
- Evolutionary Perspective – Understanding intelligence requires a deep exploration of how cognitive and neural architectures have emerged through evolution.
- Complexity & Networks – Intelligence cannot be reduced to isolated components. We study cognition through the lens of network science, self-organization, and hierarchical processing.
- Ethical and Human-Centric Approach – Scientific progress must align with human values. We seek to advance cognition and AI responsibly, with societal impact in mind.
What We Do
- Investigate the neural and computational principles of intelligence and cognition.
- Explore the evolution of cognitive architectures and their application in AI and robotics.
- Develop new frameworks for understanding complex adaptive systems.
- Bridge gaps between human and machine intelligence through innovative modeling and experimentation.
We are scientists, engineers, and thinkers, united by a commitment to unlocking the mysteries of intelligence and fostering meaningful innovation. Join us in shaping the future of cognition, one discovery at a time.
