Commit Graph

4 Commits

Author SHA1 Message Date
mbchang
3b7d27d39e
new example: multiagent dialogue with decentralized speaker selection (#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.
2023-04-26 21:37:36 -07:00
mbchang
4bc209c6f7
example: multi player dnd (#3560)
This notebook shows how the DialogueAgent and DialogueSimulator class
make it easy to extend the [Two-Player Dungeons & Dragons
example](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html)
to multiple players.

The main difference between simulating two players and multiple players
is in revising the schedule for when each agent speaks

To this end, we augment DialogueSimulator to take in a custom function
that determines the schedule of which agent speaks. In the example
below, each character speaks in round-robin fashion, with the
storyteller interleaved between each player.
2023-04-25 21:20:39 -07:00
mbchang
831ca61481
docs: two_player_dnd docs (#3528) 2023-04-25 08:24:53 -07:00
Zander Chase
f329196cf4
Agents 4 18 (#3122)
Creating an experimental agents folder, containing BabyAGI, AutoGPT, and
later, other examples

---------

Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-04-18 21:41:03 -07:00