2 papers
cs.AI2025
Aime: Towards Fully-Autonomous Multi-Agent Framework
Yexuan Shi, Mingyu Wang, Yunxiang Cao +12
Multi-Agent Systems (MAS) powered by Large Language Models (LLMs) are emerging as a powerful paradigm for solving complex, multifaceted problems. However, the potential of these sy…
cs.NE2019
Evolving ab initio trading strategies in heterogeneous environments
David Rushing Dewhurst, Yi Li, Alexander Bogdan +1
Securities markets are quintessential complex adaptive systems in which heterogeneous agents compete in an attempt to maximize returns. Species of trading agents are also subject t…