Artificial instinct
Y. Li, Jilong Wang · 2024
Artificial Intelligence (AI) has made remarkable advancements, surpassing human capabilities in various domains. This paper delves into cutting-edge AI technologies, analyzing significant models and techniques. However, current AI models have not fully captured the essence of human instincts, which we believe to be the core differentiator between humans and machines. We further explored simple human instinctive behaviors using a cellular automata (CA) model. While CA successfully emulated basic instincts, it fell short in replicating complex instinctive behaviors. We propose that future collaborations between computer science researchers and neuroscientists could offer the potential for gaining deeper insights into the underlying mechanisms of human instincts, developing advanced “artificial instinct” technology and producing the next generation of revolutionary machine systems.