In this groundbreaking paper, the Gödel Agent is introduced as a self-evolving framework that revolutionizes AI-driven agents by allowing them to continuously improve without relying on predefined routines or fixed algorithms. Inspired by the Gödel machine, this innovative approach enables agents to dynamically modify their own logic and behavior based on high-level objectives through prompting. The experimental results on mathematical reasoning and complex agent tasks showcase the Gödel Agent’s ability to outperform manually designed agents in terms of performance, efficiency, and generalizability. This marks a significant leap forward in the realm of AI technology.
https://arxiv.org/abs/2410.04444