Antonio Sgorbissa;Lorenzo Morocutti;Ilenia D'Angelo;Carmine T. Recchiuto
{"title":"马基雅弗利机器人及其思维理论","authors":"Antonio Sgorbissa;Lorenzo Morocutti;Ilenia D'Angelo;Carmine T. Recchiuto","doi":"10.1109/TAFFC.2024.3494595","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"17 2","pages":"1299-1317"},"PeriodicalIF":11.3000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10747266","citationCount":"0","resultStr":"{\"title\":\"Machiavellian Robots and Their Theory of Mind\",\"authors\":\"Antonio Sgorbissa;Lorenzo Morocutti;Ilenia D'Angelo;Carmine T. Recchiuto\",\"doi\":\"10.1109/TAFFC.2024.3494595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":13131,\"journal\":{\"name\":\"IEEE Transactions on Affective Computing\",\"volume\":\"17 2\",\"pages\":\"1299-1317\"},\"PeriodicalIF\":11.3000,\"publicationDate\":\"2026-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10747266\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Affective Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10747266/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Affective Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10747266/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
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.