AI for Diplomacy: Enhancing Strategy with Artificial Intelligence

SeniorTechInfo
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Unveiling the Secrets of Diplomacy: How AI Agents Collaborate, Communicate, and Strategize

Research

Published
Authors

Yoram Bachrach, János Kramár

Agents cooperate better by communicating and negotiating, and sanctioning broken promises helps keep them honest

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them. In our recent paper, published today in Nature Communications, we show how artificial agents can use communication to better cooperate in the board game Diplomacy, a vibrant domain in artificial intelligence (AI) research, known for its focus on alliance building.

What is Diplomacy and why is it important?

Games such as chess, poker, Go, and many other strategic games have always been fertile ground for AI research. Diplomacy is a seven-player game of negotiation and alliance formation, where each player controls multiple units on a map of Europe partitioned into provinces. The heart of Diplomacy lies in the negotiation phase, where players try to agree on their next moves.

Two movement scenarios.
Left: two units (a Red unit in Burgundy and a Blue unit in Gascony) attempt to move into Paris. As the units have equal strength, neither succeeds.
Right: the Red unit in Picardy supports the Red unit in Burgundy, overpowering Blue’s unit and allowing the Red unit into Burgundy.

Computational approaches to Diplomacy have been researched since the 1980s. Our recent study focuses on how AI agents can coordinate their moves through communication and negotiation protocols. These agents have shown significant improvement over non-communicating agents in the game.

Diplomacy contracts.
Left: a restriction allowing only certain actions to be taken by the Red player. Right: A contract between the Red and Green players.

Our negotiation mechanisms have proven to enhance the performance of AI agents in Diplomacy by identifying high-quality agreements and joint plans of action. Game theory principles are leveraged to ensure fairness and cooperation among the agents.

Continue on discussing different scenarios, agents breaking agreements, encouraging honesty, and conclusions

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