references
references & influences
works we were inspired by and built on.
Nut's architecture draws from peer-reviewed advancements in AI:
Bengio, Y., et al. (2019). "Towards Neuro-Symbolic AI." Advances in Neural Information Processing Systems.
Garcez, A., et al. (2020). "Neuro-Symbolic AI: The Next Wave." AI Magazine.
Lake, B. M., et al. (2017). "Building Machines That Learn and Think Like People." Behavioral and Brain Sciences (inspiring continuous evolution without forgetting).
Silver, D., et al. (2016). "Mastering the Game of Go with Deep Neural Networks and Tree Search." Nature (influencing risk simulation in RMC).
Goodfellow et al. (2014). “Generative Adversarial Nets” NeurIPS
Boyd et al. (2011). “Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers” Foundations & Trends.
Additional baselines: OpenAI's GPT-4 Technical Report (2023); Anthropic's Claude 3 Model Card (2024); X AI's Grok-2 Beta Release (2024).