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Decision-Making in Emotion Model

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Published:01 March 2018Publication History

ABSTRACT

Having emotions is essential for robots to understand and sympathize with the feelings of people. In addition, it may allow the robots to be accepted into human society. The role of emotions in decision-making is another important perspective. In this paper, a model of emotions based on various neurological and psychological findings that are related to empathic communication between humans and robots is proposed. Subsequently, a mechanism of decision-making that is based on affects using convolutional LSTM and deep Q-network is examined.

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    • Published in

      cover image ACM Conferences
      HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
      March 2018
      431 pages
      ISBN:9781450356152
      DOI:10.1145/3173386

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 March 2018

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      Acceptance Rates

      HRI '18 Paper Acceptance Rate49of206submissions,24%Overall Acceptance Rate192of519submissions,37%

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