A developmental framework for artificial life and emergent intelligence.
Most contemporary artificial intelligence systems are constructed as predefined architectures whose capabilities are acquired through training. Biological organisms, however, develop through continual interaction with their environment, progressively acquiring complexity through adaptation and evolution.
Babyoid: The Digital Organism Architecture (DOA) explores whether intelligence itself can emerge through developmental processes rather than being directly engineered. Instead of beginning with a fully specified intelligent agent, the framework starts from a minimal computational seed governed by Digital DNA, allowing increasingly complex structures and behaviors to arise over time.
Can intelligence emerge through growth rather than specification?
Babyoid investigates intelligence from a developmental perspective inspired by:
- Artificial Life
- Evolutionary Computation
- Complex Adaptive Systems
- Developmental Biology
- Emergent Intelligence
- Multi-Agent Systems
Digital DNA serves as a compact developmental blueprint responsible for:
- Survival and resource management
- Memory formation and experience retention
- Environmental interaction
- Adaptation and learning
- Self-maintenance and repair
- Reproduction and inheritance
Rather than prescribing fixed behaviors or architectures, the framework defines mechanisms through which complexity may emerge.
Characteristics:
- Cooperation
- Long-term memory retention
- Selective reproduction
- Stability and persistence
Characteristics:
- Rapid adaptation
- Distributed experimentation
- Exploration
- High reproductive throughput
These contrasting strategies provide alternative evolutionary pathways for studying emergent behavior and collective intelligence.
Computational Seed
↓
Digital DNA
↓
Artificial Womb Environment
↓
Developmental Engine
↓
Memory and Adaptation Modules
↓
Interaction and Evolution
↓
Emergent Behaviors and Intelligence
Babyoid
│
├── Paper
│ └── BABYOID_DOI_v1.pdf
│
├── LICENSE
├── CITATION.cff
└── README.md
- ✅ Conceptual framework established
- ✅ Research manuscript completed
- ✅ DOI archived through Zenodo
- ✅ Public GitHub repository created
- ✅ Citation metadata available
- ✅ CC BY 4.0 licensed
- 🔄 Prototype implementation under development
Planned directions include:
- Digital DNA implementation
- Artificial Womb Environment construction
- Developmental Engine design
- Memory architectures
- Evolutionary dynamics
- Population simulations
- Emergent communication
- Collective intelligence
- Long-term developmental experiments
If you use or reference this work, please cite:
@article{srivastavv2026babyoid,
author = {Shambhavi Srivastavv},
title = {Babyoid: The Digital Organism Architecture (DOA)},
year = {2026},
doi = {10.5281/zenodo.20745258}
}DOI: 10.5281/zenodo.20745258
This work is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Shambhavi Srivastavv
Independent Researcher
ORCID: https://orcid.org/0009-0008-8381-5796
GitHub: https://github.com/Shayenvi15
"Intelligence may not be something that is built. It may be something that grows."