Can Computers Deliberately Deceive? A Simulation Tool and Its Application to Turing's Imitation Game
Can Computers Deliberately Deceive? A Simulation Tool and Its Application to Turing's Imitation Game
复制标题
计算机可以故意欺骗吗？
DOI：
10.1111/1467-8640.00223
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发表时间：
2003
影响因子：
2.8
通讯作者：
C. Castelfranchi
中科院分区：
文献类型：
--
作者：
F. D. Rosis;V. Carofiglio;G. Grassano;C. Castelfranchi
在本文中，我们描述了智能体如何在概率框架内欺骗以代表其精神状态：在这样做的过程中，我们挑战了人机交互（HCI）和多智能体系统（MAS）中所谓的真诚假设。我们区分欺骗从其特殊情况下的谎言和不同形式的欺骗的特点，通过确定几个标准来区分它们。特别是，我们提出了一个模型的信息对接收者的头脑的影响。由于消息发送者必须考虑接收者的信任标准来规划其策略，因此我们还讨论了其中的一些标准，如内容可扩展性，源信息性和信息安全性。我们将此模型应用于图灵模仿游戏的简化版本，并描述了我们如何实现一个欺骗性策略的模拟器，我们称之为真理之口。最后，我们通过描述一个评估研究，使我们能够验证我们的方法的有效性，并修改它的一部分，本文。
In this paper, we describe how agents can deceive within a probabilistic framework for representing their mental state: in doing so, we challenge the so‐called sincerity assumption in Human–Computer interaction (HCI) and multi‐agent systems (MAS). We distinguish deception from its special case of lie and characterize different forms of deception, by identifying several criteria for distinguishing among them. In particular, we propose a model of information impact on the Receiver's mind. As the message Sender must plan its strategy by considering the Receiver's criteria for believing, we also discuss some of these criteria, like content plausibility, source informativity, and information safety. We apply this model to a simplified version of Turing's Imitation Game and describe how we implemented a Simulator of deceptive strategies that we called Mouth of Truth. We conclude the paper by describing an evaluation study that enabled us to verify the validity of our method and to revise it in part.