行動決定に基づく感情分化  [in Japanese] Emotional Differentiation based on Decision-Making Process  [in Japanese]

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Abstract

<p>ロボットが感情を持つことは人を理解し共感する上で必要不可欠であり,それによってロボットは人の社会に受け入れられる可能性がある. 本研究では,行動決定における感情の役割に焦点を当て,感情モデルの提案及び実装を行った. 感情モデルでは,人間とロボットとの共感コミュニケーションに関わる様々な神経・心理学的知見に基づくモデルを提案する.実装では,畳み込みLSTMとDeep Deterministic Policy Gradientを用いて行動決定モジュールを実現した.</p>

<p>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 Deterministic Policy Gradient is examined.</p>

Journal

  • Proceedings of the Annual Conference of JSAI

    Proceedings of the Annual Conference of JSAI JSAI2018(0), 2G402-2G402, 2018

    The Japanese Society for Artificial Intelligence

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