new example: multiagent dialogue with decentralized speaker selection (langchain-ai#3629)

This notebook showcases how to implement a multi-agent simulation
without a fixed schedule for who speaks when. Instead the agents decide
for themselves who speaks. We can implement this by having each agent
bid to speak. Whichever agent's bid is the highest gets to speak.

We will show how to do this in the example below that showcases a
fictitious presidential debate.

Author: mbchang

docs/use_cases/agent_simulations.md

@@ -14,4 +14,5 @@ Specific implementations of agent simulations (or parts of agent simulations) in
 
 ## Simulations with Multiple Agents
 - [Multi-Player D&D](agent_simulations/multi_player_dnd.ipynb): an example of how to use a generic dialogue simulator for multiple dialogue agents with a custom speaker-ordering, illustrated with a variant of the popular Dungeons & Dragons role playing game.
+- [Decentralized Speaker Selection](agent_simulations/multiagent_bidding.ipynb): an example of how to implement a multi-agent dialogue without a fixed schedule for who speaks when. Instead the agents decide for themselves who speaks by outputting bids to speak. This example shows how to do this in the context of a fictitious presidential debate.
 - [Generative Agents](agent_simulations/characters.ipynb): This notebook implements a generative agent based on the paper [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442) by Park, et. al.