Towards Convention-Based Game Strategies

To effectively develop cooperative multiagent systems, we introduce an architecture that facilitates the agents’ dynamic adoption of conventions. It expands an existing agent model’s action selection architecture with a component that uses Natural Language Processing techniques. This component embeds conventions into agent interaction strategies to improve the predictability of other agents’ actions if all agents adopt the same conventions in their strategies.