Abstract
Various types of action decision strategy are used to realize a smooth interaction with others. We can estimate intention of others and determine own action accordingly, or can induce intention and actions of others’ as we intend. In this study, a computational model of the action decision has been constructed based on an intention estimation of others and is evaluated its effectiveness by ‘a robot-child play’ experiment. For the model construction, the human adult behavior in the game play with child has been analyzed.. As a result, a necessity of “Meta-strategy” such as a choice of action decision strategy is suggested.
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Acknowledgments
This work was supported by a Grant-in-Aid for Scientific Research on Innovative Areas ‘The study on the neural dynamics for understanding communication in terms of complex hetero systems’ (21120010).
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Omori, T., Yokoyama, A., Abe, K., Nagai, T. (2013). Cognitive Modeling of Human-Robot Interaction Estimating Other’s Internal State. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_60
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DOI: https://doi.org/10.1007/978-94-007-4792-0_60
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