%0 Conference Proceedings
%T Study on an Emotion Generation Model for a Robot Using a Chaotic Neural Network
%+ Kansai University Graduate School
%+ Kansai University
%A Sumitomo, Hiroyuki
%A Tokumaru, Masataka
%A Muranaka, Noriaki
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Entertainment Computing (ICEC)
%C Seoul, South Korea
%Y Hyun Seung Yang; Rainer Malaka; Junichi Hoshino; Jung Hyun Han
%I Springer
%3 Entertainment Computing - ICEC 2010
%V LNCS-6243
%P 502-504
%8 2010-09-08
%D 2010
%R 10.1007/978-3-642-15399-0_73
%K Partner Robot
%K Chaos Neural Network
%K Emotion
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X This paper proposes an emotion-generation model for complex change using a chaotic neural network (CNN). Using a CNN, the proposed model will solve the problem of past studies that have indicated that robotic emotion changes are simplistic. The model uses the principle of an adaptation level, which is used in Russell's emotion model to generate emotion. This paper considers the effectiveness of this approach using simulation, and shows that the model can express a change of "adaptation". In addition, through the chaos of CNN, the proposed model can express different changes, even if the values of CNN's input values remain the same.
%G English
%2 https://inria.hal.science/hal-01055587/document
%2 https://inria.hal.science/hal-01055587/file/ICEC_28hsumitomo_29.pdf
%L hal-01055587
%U https://inria.hal.science/hal-01055587
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6243
%~ IFIP-ICEC
%~ IFIP-2010