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This notebook showcases how to implement a multi-agent simulation where a privileged agent decides who to speak. This follows the polar opposite selection scheme as [multi-agent decentralized speaker selection](https://python.langchain.com/en/latest/use_cases/agent_simulations/multiagent_bidding.html). We show an example of this approach in the context of a fictitious simulation of a news network. This example will showcase how we can implement agents that - think before speaking - terminate the conversation |
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| .. | ||
| agent_simulations | ||
| agents | ||
| autonomous_agents | ||
| chatbots | ||
| code | ||
| evaluation | ||
| question_answering | ||
| agent_simulations.md | ||
| apis.md | ||
| autonomous_agents.md | ||
| chatbots.md | ||
| code.md | ||
| evaluation.rst | ||
| extraction.md | ||
| personal_assistants.md | ||
| question_answering.md | ||
| summarization.md | ||
| tabular.md | ||