论文标题
来自随机和真实网络模拟的战略游戏的新兴空间特征
Emergent Spatial Characteristics from Strategic Games Simulated on Random and Real Networks
论文作者
论文摘要
复杂的网络是模拟迭代囚犯困境游戏中使用的不同策略结果的绝佳工具。但是，由于策略本身依赖于节点之间的联系，因此初始网络结构应对游戏的发展产生影响。通过根据囚犯的困境定义每种互动并将其回报矩阵作为调查的基础，我们实施了具有各种互动和边缘依恋策略的参与者，并在具有不同网络结构的真实和随机网络上运行了这一动态过程。我们发现，在每个玩家采用相同的策略的条件下，网络大小和小世界属性不仅在确定模拟的收敛速度，而且在节点的主导地位方面都起着重要作用。
Complex networks are a great tool for simulating the outcomes of different strategies used within the iterated prisoners' dilemma game. However, because the strategies themselves rely on the connection between nodes, then initial network structure should have an impact on the progression of the game. By defining each interaction in terms of a prisoner's dilemma and using its payoff matrix as a basis for investigation, we implemented players with various interaction and edge attachment strategies, and ran this dynamic process on real and random networks with varying network structure. We found that, both network size and small world properties played an important role in not only deciding the convergence rate of the simulation but also the dominant status of nodes, under the conditions where identical strategies are employed by every player.
