Agents that perform intelligent tasks interacting with humans in a seamless manner are becoming a reality. In contexts in which interactions among agents repeat over time, they might evolve from a cooperative to a competitive attitude, and vice versa, depending on environmental factors and other contextual circumstances. We provide a framework to model transitions between competition and cooperation in a community of agents. Competition is dealt with through the paradigm of adversarial risk analysis, which provides a disagreement solution; implicitly, we minimize the distance to such solution. Cooperation is handled through a concept of maximal separation from the disagreement solution. Mixtures of both problems are used to refer to in-between behaviour. We illustrate the ideas with several simulations in relation with a group of robots. Our motivation is the constitution of communities of robotic agents that interact among them and with one or more users.

中文翻译：

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自治代理商社区中的竞争与合作

执行与人类无缝交互的智能任务的代理正成为现实。在代理之间的交互随着时间而重复的情况下，取决于环境因素和其他上下文环境，它们可能会从合作态度演变为竞争态度，反之亦然。我们提供了一个框架，可以对代理商社区中竞争与合作之间的过渡进行建模。竞争通过对抗性风险分析的范式进行处理，这提供了解决方案；隐式地，我们最小化了这种解决方案的距离。通过从分歧解决方案中最大分离的概念来处理合作。这两个问题的混合用于表示中间行为。我们通过与一组机器人相关的几种模拟来说明这些想法。