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conversational_agents/multiagent_debate/README.md

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+# MultiAgent Debate
+
+Debate workflow simulates a multi-turn discussion between different agents, mostly several solvers and an aggregator.
+Typically, the solvers generate and exchange their answers, while the aggregator collects and summarizes the answers.
+
+We implement the examples in [EMNLP 2024](https://aclanthology.org/2024.emnlp-main.992/), where two debater agents
+will discuss a topic in a fixed order, and express their arguments based on the previous debate history.
+At each round a moderator agent will decide whether the correct answer can be obtained in the current iteration.
+
+## Setup
+
+The example is built upon DashScope LLM API in [main.py](https://github.com/agentscope-ai/agentscope/blob/main/examples/workflows/multiagent_debate/main.py).
+You can also change to the other LLMs by modifying the ``model`` and ``formatter`` parameters in the code.
+
+To run the example, first install the latest version of AgentScope, then run:
+
+```bash
+python examples/workflows/multiagent_debate/main.py
+```
+
+
+> Note: The example is built with DashScope chat model. If you want to change the model in this example, don't forget
+> to change the formatter at the same time! The corresponding relationship between built-in models and formatters are
+> list in [our tutorial](https://doc.agentscope.io/tutorial/task_prompt.html#id1)