专注论文查重修改6年+经验

以生物系统为基础的情绪计算模型

【中文摘要】:近年来,随着机器人工业的发展,机器人开始出现在各式不同的任务中,尤
其是和人有密切的接触的任务,这些任务需要因应不同的情境与社会规範,给予
使用者不同的回馈,例如接待型机器人、娱乐型机器人或是宠物机器人等,这类
的机器人除了外表愈来愈加拟人化外,也加入了许多心智状态的设计,例如前几
年 Sony 出的宠物狗''AIBO'',除

文懂论文网,论文重复率修改靠谱,专业改抄袭,通过论文查重系统,提升论文品质的最佳选择

了可爱的外表与动作外,还放入了情绪的机制,让
使用者在与其互动上感到更为亲切

szwox.com_172
有趣。因此本研究的目标是透过生物机制的计
算化,将情绪系统做的更加拟人,期望可以和使用者达成亲密的互动。本研究最
后透过了两种情境实验测试,成功的学习出刺激与奖励的对应,并且产生出对应
的情绪。
【英文摘要】:Robots began to appear in a variety of different tasks with the development of r

毕业论文查重去哪里?文懂论文查重一站式服务,全球8大论文检测系统帮你杜绝防抄袭,提高论文原创水品。

obot
industrial in recent years, in particular the tasks have close contact with people. These
tasks require in response to different situations and social norms to give users different
feedback, such as reception robots, entertainment robots or pet robots. Some of the tasks
requires responses to people in different situations, in particular the task which has close
relationship with people. These robots in addition to having more anthropomorphic
appearance, but also added a lot of the mental state of the design. For example, Sony
had developed the pet dog ''AIBO'' a few years ago. In addition to the lovely appearance
and actions, it also has the emotion mechanisms which allow users feel interesting to
interact. Therefore, the goal of this study is using computational biological mechanisms
to build an more anthropomorphic emotion system. Finally, this study has two situations
of experiment. The system has success in learning the relation between stimulations and
rewards, and generating the corresponding emotion.
【参考文献】:

  • 1. Dang, T.-H.-H., G. Hutzler, and P. Hoppenot, How to Gain Emotional Rewards during Human-Robot Interaction Using Music? Formulation and Propositions, L. Rutkowski, et al., Editors. 2010, Springer Berlin / Heidelberg. p. 247-255.
  • 2. Cattinelli, I., M. Goldwurm, and N. Borghese, Interacting with an artificial partner: modeling the role of emotional aspects. Biological Cybernetics, 2008. 99(6): p. 473-489.
  • 3. Robi. Available from: http://robi.tw/.
  • 4. Samani, H.A. and A.D. Cheok. Probability of love between robots and humans. in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. 2010.
  • 5. Ziemke, T. and R. Lowe, On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots. Cognitive Computation, 2009. 1(1): p. 104-117.
  • 6. Matsumoto, D. and P. Ekman, Japanese and Caucasian facial expressions of emotion and neutral faces1988: els autors.
  • 7. Becker-Asano, C. and I. Wachsmuth, Affective computing with primary and secondary emotions in a virtual human. Autonomous Agents and Multi-Agent Systems, 2010. 20(1): p. 32-49.
  • 8. Arbib, M.A. and J.-M. Fellous, Emotions: from brain to robot. Trends in Cognitive Sciences, 2004. 8(12): p. 554-561.
  • 9. Jianwei, L., Y. Haifeng, and W. Xufa. A hormone-modulated emotional model. in Computer Engineering and Technology (ICCET), 2010 2nd International Conference on. 2010.
  • 10. Nishida, T., Modeling Machine Emotions for Realizing Intelligence – An Introduction –, in Modeling Machine Emotions for Realizing Intelligence Foundations and Applications, T. Nishida, L.C. Jain, and C. Faucher, Editors. 2010, Springer Berlin Heidelberg. p. 1-15.
  • 11. Seung-Ik, L., P. Gunn-Yong, and K. Joong-Bae. Natural Emotion Expression of a Robot Based on Reinforcer Intensity and Contingency. in Robotics and Automation, 2007 IEEE International Conference on. 2007.
  • 12. Carter, R., 大脑的祕密档案2011.
  • 13. Ortony, A., G.L. Clore, and A. Collins, The cognitive structure of emotions1990.
  • 14. Carter, R., Mapping the Mind1999.
  • 15. Silber, K., The Physiological Basis of Behaviour: Neural and Hormonal Processes1999.
  • 16. Pessoa, L., On the relationship between emotion and cognition. Nat Rev Neurosci, 2008. 9(2): p. 148-158.
  • 17. Qingji, G., W. Kai, and L. Haijuan, A Robot Emotion Generation Mechanism Based on PAD Emotion Space, Z. Shi, E. Mercier-Laurent, and D. Leake, Editors. 2008, Springer Boston. p. 138-147.
  • 18. Steunebrink, B.R., M. Dastani, and J.J.C. Meyer. The OCC model revisited. 2009.
  • 19. 高木繁治, 大脑构造地图2011.
  • 20. Doya, K., Metalearning, neuromodulation, and emotion. Affective minds, 2000. 1: p. 101-104.
  • 21. 叶重新, 心理学(简明版)2006.
  • 22. 冯观富, 情绪心理学2005.
  • 23. Arbib, M. USC Brain Project. Available from: http://neuroinformatics.usc.edu/.
  • 24. Khamassi, M., et al., Robot cognitive control with a neurophysiologically inspired reinforcement learning model. Frontiers in neurorobotics, 2011. 5.
  • 25. Mirolli, M., F. Mannella, and G. Baldassarre, The roles of the amygdala in the affective regulation of body, brain, and behaviour. Connection Science, 2010. 22(3): p. 215-245.
  • 26. Niv, Y., Reinforcement learning in the brain. Journal of Mathematical Psychology, 2009. 53(3): p. 139-154.
  • 27. Schweighofer, N. and K. Doya, Meta-learning in reinforcement learning. Neural Networks, 2003. 16(1): p. 5-9.
  • 28. Akiguchi, S. and Y. Maeda. Emotion Behavior Learning System Based on Meta-Parameter Control of Q-Learning with plural Q-values. in Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005). 2006. Springer.
  • 29. Shi, X., Z. Wang, and Q. Zhang, Artificial Emotion Model Based on Neuromodulators and Q-learning, in Future Control and Automation2012, Springer. p. 293-299.
  • 来源:中山大学;作者:林恆宇
    文懂论文-重复率修改第一品牌,http://www.szwox.com解决论文查重论文降重复,重复率高等各种论文难题的专家

    最新文章

    • 什么是学术不端行为
      什么是学术不端行为
      什么是学术不端行为 1992 年,由美国国家科学院、国家工程院和国家医学研究院组成的 22 位...
    • 论文降重复服务 1. 本网站及服务 szwox.com提供哪些服务? szwox.com是一个...

    联络我们

    QQ: 767326772
    文懂论文
    网站:http://www.szwox.com/
    E-mail: turuinit@foxmail.com

    我们的服务

    我们提供毕业论文、期刊论文、硕士论文、博士论文、会议论文格式排版,论文查重,重复率修改等服务。强大论文查重系统,一手老师资源,首创安全保密查重修改流程。充分保障客户论文查重安全以及修改后的品质,赢得了老师和同学们的信任和口碑。