Abstract
Turn-taking behaviour is simulated with a coupled agents system. Each agent is modelled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two dimensional arena by causing the network structures to evolve.
Turn-taking is established using either regular or chaotic behaviour of the agents. It is found that chaotic turn-takers are more sensitive to the adaptive inputs from the other agent. On the other hand, regular turn-takers are comparatively insensitive to noisy inputs due to their restricted dynamics. From various observations, including turn-taking with virtual agents, we claim that the chaotic turn-taking agents become less robust when coping with virtual agents but at the same time, those agents are more adaptable to each other than the regular turn-taking agents. All these findings are discussed and compared with Trevarthen’s double monitor experiments.
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References
Cliff, D., Miller, G.F.: Co-evolution of Pursuit and Evasion II: Simulation Methods and Results. In: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior(SAB 1996), From Animals to Animats 4, pp. 506–515. MIT Press Bradford Books (1996)
Dautenhahn, K.: Embodiment and interaction in socially intelligent life-like agents. In: Nehaniv, C.L. (ed.) CMAA 1998. LNCS (LNAI), vol. 1562, pp. 102–142. Springer, Heidelberg (1999)
Di Paolo, E.A.: Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents. Adaptive Behavior 8(1), 25–46 (2000)
Ikegami, T., Taiji, M.: Structures of Possible Worlds in a Game of Players with Internal Models. Acta Polytechnica Scandinavica Ma. 91, 283–292 (1998)
Ikegami, T., Taiji, M.: Imitation and Cooperation in Coupled Dynamical Recognizers. In: Advances in Artificial Life, pp. 545–554. Springer, Heidelberg (1999)
Ikegami, T., Morimoto, G.: Chaotic Itinerancy in Coupled Dynamical Recognizers. Journal of American Institute of Physics (submitted)
Ikegami, T., Iizuka, H.: Joint Attention and Dynamics Repertoire in Coupled Dynamical Recognizers. The Proceedings of Imitation in Animals and Artifacts II (2003)
Iizuka, H., Ikegami, T.: Simulating Turn-taking Behaviours with Coupled Dynamical Recognizers. In: Standish, R., et al. (eds.) The Proceedings of Artificial Life 8, pp. 319–328. MIT Press, Cambridge (2002)
Reynolds, C.W.: Competition, Co-evolution and the Game of Tag. In: Brooks, R.A., Maes, P. (eds.) Artificial Life IV, pp. 59–69. MIT Press, Cambridge (1995)
Scassellati, B.: Imitation and mechanisms of joint attention: A developmental structure for building social skills on a humanoid robot. In: Nehaniv, C.L. (ed.) CMAA 1998. LNCS (LNAI), vol. 1562, p. 176. Springer, Heidelberg (1999)
Trevarthen, C.: Descriptive Analyses of Infant Communicative Behaviour. In: Schaffer, H.R. (ed.) Studies in Mother-Infant Interaction. Academic Press, London (1977)
Trevarthen, C.: The Self Born in Intersubjectivity: The Psychology of an Infant Communicating. In: Neisser, U. (ed.) The Perceived Self, pp. 121–173. Cambridge University Press, Cambridge (1993)
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Iizuka, H., Ikegami, T. (2003). Adaptive Coupling and Intersubjectivity in Simulated Turn-Taking Behaviour. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_36
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DOI: https://doi.org/10.1007/978-3-540-39432-7_36
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