This talk explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents. To address the challenges of achieving autonomous cooperation, we propose a novel communicative agent framework named CAMEL. We showcase how role-playing can be used to generate conversational data for studying the behaviors and capabilities of a society of agents. In particular, we conduct comprehensive studies on cooperation in multi-agent settings. Our contributions include introducing a novel communicative agent framework, offering a scalable approach for studying the cooperative behaviors and capabilities of multi-agent systems, and open-sourcing our library to support research on communicative agents and beyond: https://github.com/camel-ai/camel.

Guohao Li is a founder and CEO of Eigent.AI. He is an artificial intelligence researcher and an open-source contributor working on building intelligent agents that can perceive, learn, communicate, reason, and act. He is the core lead of the open source projects CAMEL-AI.org and DeepGCNs.org.

Guohao Li was a postdoctoral researcher at University of Oxford. He obtained his PhD degree in Computer Science at King Abdullah University of Science and Technology. He received his master degree and bachelor degree from University of Chinese Academy of Science - ShanghaiTech University and Harbin Institute of Technology.