3.1 Role-playing Framework

Our proposed framework is a novel role-playing approach for studying multiple communicative
agents. Speciﬁcally, we concentrate on task-oriented role-playing that involves one AI assistant and
one AI user. After the multi-agent system receives a preliminary idea and the role assignment from
human users, a task-speciﬁer agent will provide a detailed description to make the idea speciﬁc and
then the AI assistant and AI user will cooperate on completing the speciﬁed task through multi-turn
conversations until the AI user determines the task is done. The AI user is responsible for giving
instructions to the AI assistant and directing the conversation toward task completion. On the other
hand, the AI assistant is designed to follow the instructions from the AI user and respond with speciﬁc
solutions. The whole role-playing framework is depicted in Figure 1.
CAMEL- Communicative Agents for “Mind” Exploration of Large Scale Language Model Society