马基雅弗利机器人及其思维理论

IF 11.3 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Affective Computing Pub Date : 2026-04-01 Epub Date: 2024-11-07 DOI:10.1109/TAFFC.2024.3494595
Antonio Sgorbissa;Lorenzo Morocutti;Ilenia D'Angelo;Carmine T. Recchiuto
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引用次数: 0

摘要

这项工作的目的是开发和评估嵌入在人形机器人中的心智理论(ToM)和马基雅维利行为的计算认知模型。马基雅维利主义,与精神病和自恋一起,是黑暗三位一体(DT)的一部分,这三种结构对应于社会厌恶但不一定是病态的人格。本研究的动机既有理论的,也有应用的。从长远来看,我们的目标是:(i)通过模拟和机器人设置,为研究人员提供对马基雅维利主义以及其他DT结构的新见解;提供一种工具,训练心理学家在受控环境下处理社会和反社会行为;(iii)帮助人们意识到他们在社会和情感关系中可能期望从具有DT特征的人那里得到的行为机制;(iv)通过识别应该避免的行为,帮助机器人工程师开发更好的机器人。为此,我们在流行的规划领域定义语言(PDDL)中探索了ToM的计算模型,并定义了一个包含必要元素的领域,以诱导计划和执行过程中的马基雅维利行为。随后,我们在一个控制人形机器人行为的软件架构中实现了我们的计算模型,并录制了机器人与两名演员互动的视频。最后,我们对300名参与者进行了实验,将其分为6个条件,以验证所实施的框架是否足够灵活,足以产生参与者根据他们对录制视频的观察而认为更马基雅维利或更不马基雅维利的行为。
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Machiavellian Robots and Their Theory of Mind
The objective of this work is to develop and evaluate computational cognitive models of Theory of Mind (ToM) and Machiavellian behavior embedded in a humanoid robot. Machiavellianism, together with psychopathy and narcissism, is part of the Dark Triad (DT), three constructs that correspond to socially aversive yet not necessarily pathological personalities. The motivations of the present work are both theoretical and application-oriented. In the long term, we aim to: (i) Provide researchers with new insights into the Machiavellian as well as other DT constructs through simulated and robotic setups; (ii) Provide a tool to train psychologists to deal with social and antisocial behavior in a controlled setup; (iii) Help people become aware of the behavioral mechanisms that they may expect from people with DT traits in social and affective relationships; (iv) Assist robotic engineers in developing better robots by identifying behaviors that should be avoided. To this end, we explored a computational model of ToM in the popular Planning Domain Definition Language (PDDL), and defined a domain with the necessary elements to induce Machiavellian behavior during planning and execution. Subsequently, we implemented our computational model in a software architecture controlling the behavior of a humanoid robot and recorded videos of the robot interacting with two actors. Finally, we conducted experiments with 300 participants divided into 6 conditions to verify whether the implemented framework is versatile enough to generate behaviors that participants would rate as either more Machiavellian or less Machiavellian based on their observations of the recorded videos.
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来源期刊
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
15.00
自引率
6.20%
发文量
174
期刊介绍: The IEEE Transactions on Affective Computing is an international and interdisciplinary journal. Its primary goal is to share research findings on the development of systems capable of recognizing, interpreting, and simulating human emotions and related affective phenomena. The journal publishes original research on the underlying principles and theories that explain how and why affective factors shape human-technology interactions. It also focuses on how techniques for sensing and simulating affect can enhance our understanding of human emotions and processes. Additionally, the journal explores the design, implementation, and evaluation of systems that prioritize the consideration of affect in their usability. We also welcome surveys of existing work that provide new perspectives on the historical and future directions of this field.
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