We consider behavior of agents in a long-term multiagent coopetitive setting in which agents vary their cooperative and competitive stances over time. Using the game of Diplomacy as a testbed, we study how successful agents vary their coopetitive behavior, developing a new "style of play"(SoP) characterization of player behavior. We assess five novel SoP hypotheses about successful behavior. We propose two algorithms to automatically compute an agent's SoP vector and describe the important factors in this computation. As an agent's SoP depends on the game state and its perception of threat, we develop a novel "means, motive, and opportunity"(MMO) model of threat and show that we can predict threats effectively using this model. We provide novel insights into how agents should behave to more successfully achieve their goals in long-term coopetitive settings.
The Impact of Strategic Communication in Coopetitive Multiagent Settings
Pulice C.;Simari G. I.;Subrahmanian V. S.;
2025-01-01
Abstract
We consider behavior of agents in a long-term multiagent coopetitive setting in which agents vary their cooperative and competitive stances over time. Using the game of Diplomacy as a testbed, we study how successful agents vary their coopetitive behavior, developing a new "style of play"(SoP) characterization of player behavior. We assess five novel SoP hypotheses about successful behavior. We propose two algorithms to automatically compute an agent's SoP vector and describe the important factors in this computation. As an agent's SoP depends on the game state and its perception of threat, we develop a novel "means, motive, and opportunity"(MMO) model of threat and show that we can predict threats effectively using this model. We provide novel insights into how agents should behave to more successfully achieve their goals in long-term coopetitive settings.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
