{"title":"交互式代理的共情计算模型","authors":"Ӧzge Nilay Yalcin, Steve DiPaola","doi":"10.1016/j.bica.2018.07.010","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Empathy has been defined in the scientific literature as the capacity to relate another’s emotional state and assigned to a broad spectrum of cognitive and behavioral abilities. Advances in neuroscience, psychology and ethology made it possible to refine the defined functions of empathy to reach a working definition and a model of empathy. Recently, </span>cognitive science<span><span> and artificial intelligence communities made attempts to model empathy in artificial agents, which can provide means to test these models and hypotheses. A </span>computational model of empathy not only would help to advance the technological artifacts to be more socially compatible, but also understand the empathy mechanisms, test theories, and address the ethics and morality problems the Artificial Intelligence (AI) community is facing today. In this paper, we will review the empathy research from various fields, gather the requirements for empathic capacity and construct a model of empathy that is suitable for interactive </span></span>conversational agents.</p></div>","PeriodicalId":48756,"journal":{"name":"Biologically Inspired Cognitive Architectures","volume":"26 ","pages":"Pages 20-25"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bica.2018.07.010","citationCount":"53","resultStr":"{\"title\":\"A computational model of empathy for interactive agents\",\"authors\":\"Ӧzge Nilay Yalcin, Steve DiPaola\",\"doi\":\"10.1016/j.bica.2018.07.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Empathy has been defined in the scientific literature as the capacity to relate another’s emotional state and assigned to a broad spectrum of cognitive and behavioral abilities. Advances in neuroscience, psychology and ethology made it possible to refine the defined functions of empathy to reach a working definition and a model of empathy. Recently, </span>cognitive science<span><span> and artificial intelligence communities made attempts to model empathy in artificial agents, which can provide means to test these models and hypotheses. A </span>computational model of empathy not only would help to advance the technological artifacts to be more socially compatible, but also understand the empathy mechanisms, test theories, and address the ethics and morality problems the Artificial Intelligence (AI) community is facing today. In this paper, we will review the empathy research from various fields, gather the requirements for empathic capacity and construct a model of empathy that is suitable for interactive </span></span>conversational agents.</p></div>\",\"PeriodicalId\":48756,\"journal\":{\"name\":\"Biologically Inspired Cognitive Architectures\",\"volume\":\"26 \",\"pages\":\"Pages 20-25\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bica.2018.07.010\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biologically Inspired Cognitive Architectures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212683X18300719\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Psychology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biologically Inspired Cognitive Architectures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212683X18300719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Psychology","Score":null,"Total":0}
A computational model of empathy for interactive agents
Empathy has been defined in the scientific literature as the capacity to relate another’s emotional state and assigned to a broad spectrum of cognitive and behavioral abilities. Advances in neuroscience, psychology and ethology made it possible to refine the defined functions of empathy to reach a working definition and a model of empathy. Recently, cognitive science and artificial intelligence communities made attempts to model empathy in artificial agents, which can provide means to test these models and hypotheses. A computational model of empathy not only would help to advance the technological artifacts to be more socially compatible, but also understand the empathy mechanisms, test theories, and address the ethics and morality problems the Artificial Intelligence (AI) community is facing today. In this paper, we will review the empathy research from various fields, gather the requirements for empathic capacity and construct a model of empathy that is suitable for interactive conversational agents.
期刊介绍：
Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research.
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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