An independent research initiative by Shambhavi Srivastav, investigating whether intelligence can emerge through development, adaptation, memory formation, and evolution rather than explicit engineering.
Babyoid explores a developmental approach to intelligence inspired by Artificial Life, evolutionary computation, and adaptive systems. Instead of constructing a complete intelligent agent, the framework begins with a minimal computational seed regulated by Digital DNA, allowing complexity to emerge progressively through interaction and evolution.
Developmental blueprint governing adaptation, memory and reproduction.
Minimal entities capable of growth and evolutionary development.
Experience retention and progressive behavioral refinement.
Environment where digital organisms interact and evolve.
Mutation, inheritance and long-term adaptation.
Emergent cooperation and population-level complexity.
Babyoid: The Digital Organism Architecture (DOA)
📄 Download PDFConceptual framework and Digital DNA.
Multi-agent simulations and developmental engine.
Artificial Womb ecosystem and population studies.
Embodied artificial organisms and advanced adaptation.