Abstract
This paper presents a clear-cut definition of consciousness of humans, consciousness of self in particular. The definition “Consistency of cognition and behavior generates consciousness” explains almost all conscious behaviors of humans. A “consciousness system” was conceived based on this definition and actually constructed with recurrent neural networks. We succeeded in implementing imitation behavior, which we believe is closely related to consciousness, by applying the consciousness system to a robot.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tani, J.: On the dynamics of robot exploration learning. Cognitive Systems Research, 459–470 (2002)
Nakamura, Y.: An Integrated Model of Imitation Learning and Symbol Emergence basedon Mimesis Theory. The Robotics Society of Japan 22(2), 256–263 (2004)
Kawato, M.: Using humanoid robots to study human behavior. IEEE Intelligent Systems: Special Issue on Humanoid Robotics 15, 46–56 (2000)
Billard, A., Hayes, G.: Learning to communicate through imitation in Autonomous robots. In: Proccedings of ICANN 1997, Seventh International Conference on Artificial Neural Networks, pp. 793–768 (1997)
Gallese, V., Fadiga, L., Rizzolati, G.: Action recognition in the premotor cortex. Brain 119, 593–600 (1996)
Donald, M.: Origin of the Modern Mind. Harvard University Press, Cambridge (1991)
Inaba, K., Takeno, J.: Consistency between recognition and behavior creates consciousness. In: Proceedings of SCI 2003 (The best paper of Systemics), pp. 341–346 (2003)
Takeno, J., Inaba, K., Suzuki, T.: Research related to imitation behavior using a consciousness machine. In: Proceedings of CCCT 2004, pp. 268–273 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Suzuki, T., Inaba, K., Takeno, J. (2005). Conscious Robot That Distinguishes Between Self and Others and Implements Imitation Behavior. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_17
Download citation
DOI: https://doi.org/10.1007/11504894_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
eBook Packages: Computer ScienceComputer Science (R0)