Grounding Social Interaction with Affective Intelligence

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9673
• 期：1
• 页码：52-57
• 全文大小：185 KB
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• 作者单位：Joshua D. A. Jung (15)
  Jesse Hoey (15)
  Jonathan H. Morgan (16)
  Tobias Schröder (17)
  Ingo Wolf (17)
  
  15. Department of Computer Science, University of Waterloo, Waterloo, ON, Canada
  16. Department of Sociology, Duke University, Durham, NC, USA
  17. Institute for Urban Futures, University of Applied Sciences, Potsdam, Germany
  
• 丛书名：Advances in Artificial Intelligence
• ISBN：978-3-319-34111-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9673

文摘

Symbolic interactionist principles of sociology are based on the idea that human action is guided by culturally shared symbolic representations of identities, behaviours, situations and emotions. Shared linguistic, paralinguistic, or kinesic elements allow humans to coordinate action by enacting identities in social situations. Structures of identity-based interactions can lead to the enactment of social orders that solve social dilemmas (e.g., by promoting cooperation). Our goal is to build an artificial agent that mimics the identity-based interactions of humans. This paper describes a study in which humans played a repeated prisoner’s dilemma game against other humans or one of three artificial agents (bots). One of the bots has an explicit representation of identity and demonstrates more human-like behaviour than the other bots.