Communication is a cornerstone of social interactions, be it with human or artificial intelligence (AI). Yet it can be harmful, depending on the honesty of the exchanged information. To study this, an agent based sociological simulation framework is presented, the reputation game. This illustrates the impact of different communication strategies on the agents' reputation. The game focuses on the trustworthiness of the participating agents, their honesty as perceived by others. In the game, each agent exchanges statements with the others about their own and each other's honesty, which lets their judgments evolve. Various sender and receiver strategies are studied, like sycophant, egocentricity, pathological lying, and aggressiveness for senders as well as awareness and lack thereof for receivers. Minimalist malicious strategies are identified, like being manipulative, dominant, or destructive, which significantly increase reputation at others' costs. Phenomena such as echo chambers, self-deception, deception symbiosis, clique formation, freezing of group opinions emerge from the dynamics. This indicates that the reputation game can be studied for complex group phenomena, to test behavioral hypothesis, and to analyze AI influenced social media. With refined rules it may help to understand social interactions, and to safeguard the design of non-abusive AI systems.
翻译:社会交流是社会互动的基石, 不管是人或人工智能(AI) 。 然而,它也可能是有害的, 取决于所交流的信息的诚实性。 为了研究这一点, 展示了一个以代理为基础的社会模拟框架, 展示了一个基于社会学的模拟框架, 名声游戏。 这说明了不同的传播战略对代理人的声誉的影响。 游戏侧重于参与者的可信度, 他们的诚实是其他人所认为的。 在游戏中, 每一个代理人就其自身的诚实和彼此的诚实相互交流声明, 从而让自己的判断不断演变。 研究各种发送者和接收者的战略, 比如, 共生、 自我中心、 病态躺、 发送者的积极性, 以及 以及对接收者的认识和缺乏。 最小的恶意战略被确定为操纵性、 主导性或破坏性, 大大提高了他人的声誉。 流行性如回声室、 自我迷惑、 欺骗性共生关系、 结晶形成、 群体观点的冻结等, 从动态中显现出来。 这表明, 名声游戏可以研究复杂的群体现象, 测试行为假设, 并分析AI 影响社会互动 。 。