Meta says it has developed a new artificial intelligence that when playing a popular board game uses chat responses with players to try to convince them to adopt its strategies, before then betraying them. The Facebook, Instagram, and WhatsApp owner points out that Cicero AI could be used in applications outside of gaming.
In a blog post, Meta says that the AI will be helpful in creating modern virtual assistant technology. It leverages both strategic reasoning and natural language processing (NLP).
Cicero can deliver human-level performance when playing the Diplomacy board game. The AI was competing in an online league across 40 games against 82 human players. By the end, the model was able to rank in the top 10% of players.
If you are unfamiliar with Diplomacy, it is a game where seven players compete to attempt to control Europe. However, it is a strategy game and not a war game. Each turn involves players negotiating to gain support for their plans before then trying to put those plans into action.
Doing these plans without support will end in failure. In Diplomacy, it is important to be able to convince other players, whether through truth or deception.
How it Works
Meta says to be able to compete, the Cicero AI needed to be able to understand the nuances of players. For example, if they were bluffing or outright lying. It needed to be able to display empathy to form alliances with other players.
The AI was built on natural language processing (NLP) and strategic reasoning. The latter technology uses an engine to predict player moves and helps the AI to build a strategy based on the predictions. As for NLP, it is an engine that generates messages and analyzes data to help form negotiation patterns.
“We developed techniques to automatically annotate messages in the training data with corresponding planned moves in the game, so that at inference time we can control dialogue generation to discuss specific desired actions for the agent and its conversation partners,” researchers said in a more detailed blog post.
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