AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

Understand

With the development of deep learning, natural language processing technology has effectively improved the efficiency of various aspects of the traditional judicial industry.

• However, most current efforts focus on tasks within individual judicial stages, making it difficult to handle complex tasks that span multiple stages.
• As the autonomous agents powered by large language models are becoming increasingly smart and able to make complex decisions in real-world settings, offering new insights for judicial intelligence.
• In this paper, (1) we propose a novel multi-agent framework, AgentsCourt, for judicial decision-making.