Kumar Aanjaneya, Chowdhary Sandeep, Capraro Valerio, Perc Matjaž
Department of Physics, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune 411008, India.
Department of Network and Data Science, Central European University, 1100 Vienna, Austria.
Phys Rev E. 2021 Nov;104(5-1):054308. doi: 10.1103/PhysRevE.104.054308.
Sender-receiver games are simple models of information transmission that provide a formalism to study the evolution of honest signaling and deception between a sender and a receiver. In many practical scenarios, lies often affect groups of receivers, which inevitably entangles the payoffs of individuals to the payoffs of other agents in their group, and this makes the formalism of pairwise sender-receiver games inapt for where it might be useful the most. We therefore introduce group interactions among receivers and study how their interconnectedness in higher-order social networks affects the evolution of lying. We observe a number of counterintuitive results that are rooted in the complexity of the underlying evolutionary dynamics, which has thus far remained hidden in the realm of pairwise interactions. We find conditions for honesty to persist even when there is a temptation to lie, and we observe the prevalence of moral strategy profiles even when lies favor the receiver at a cost to the sender. We confirm the robustness of our results by further performing simulations on hypergraphs created from real-world data using the SocioPatterns database. Altogether, our results provide persuasive evidence that moral behavior may evolve on higher-order social networks, at least as long as individuals interact in groups that are small compared to the size of the network.
发送者-接收者博弈是信息传递的简单模型,它提供了一种形式主义来研究发送者和接收者之间诚实信号和欺骗行为的演变。在许多实际场景中,谎言往往会影响一群接收者,这不可避免地将个体的收益与群体中其他主体的收益纠缠在一起,这使得成对的发送者-接收者博弈形式在可能最有用的地方变得不适用。因此,我们引入了接收者之间的群体互动,并研究它们在高阶社会网络中的相互联系如何影响说谎行为的演变。我们观察到了一些违反直觉的结果,这些结果源于潜在进化动态的复杂性,而这种复杂性迄今为止一直隐藏在成对互动的领域中。我们发现,即使存在说谎的诱惑,诚实仍能持续存在的条件,并且我们观察到,即使谎言以牺牲发送者为代价而有利于接收者,道德策略配置文件也普遍存在。我们通过使用SocioPatterns数据库对从现实世界数据创建的超图进一步进行模拟,证实了我们结果的稳健性。总之,我们的结果提供了有说服力的证据,表明道德行为可能在高阶社会网络中演变,至少只要个体在与网络规模相比很小的群体中互动。