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Original Article

ORBIT: A Baby Artificial General Intelligence Based on Cognitive Architecture for Human-Like Reasoning, Emotions & Task Automation

Naitik Ganvir1 Nalini Yerne2 Prof. Vijayata Dalwankar3 Roshni Dongarwar4 Abhay Pandey5
1 2 4 5 UG Scholar, Department of Computer Science and Engineering, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India 3 Professor, Department of Computer Science and Engineering, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India

Published Online: March-April 2026

Pages: 286-290

References

1. D. Ha and J. Schmidhuber, "World Models," arXiv preprint arXiv:1803.10122, updated and widely cited in recent AI research, 2019.
2. T. Brown et al., "Language Models are Few-Shot Learners," in Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, pp. 1877–1901, 2020.
3. Goertzel and D. Pennachin, "Toward Artificial General Intelligence: Survey of AGI Research Directions," Journal of Artificial General Intelligence, vol. 10, no. 2, pp. 1–29, 2019.
4. Y. Nakajima, "BabyAGI: Autonomous Task-Driven Agents Using Large Language Models," arXiv preprint arXiv:2304.03442, 2023.
5. J. Jiang, C. Chen, and S. Feng, "Embodied Intelligence: The Key to Unblocking Artificial General Intelligence," arXiv preprint arXiv:2505.06897, 2025.
6. M. Subasioglu and N. Subasioglu, "From Mimicry to True Intelligence: A New Paradigm for Artificial General Intelligence," arXiv preprint arXiv:2509.14474, 2025.

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