Abstract
In a study of how the concept of affordances could be applied to interaction behaviour, we introduce the notion of “interpersonal maps”, a geometrical representation of the relationships between a set of proprioceptive and heteroceptive information sources, thus creating a common representation space for comparing one’s own behaviour and the behaviour of others. Such maps can be used to detect specific types of interactions between agents such as imitation. Moreover, in cases of strong couplings between agents, such representations permit to map directly an agent’s body structure onto the structure of an observed body, thus addressing the body correspondence problem. These various cases are studied with several robotic experiments using four-legged robots either acting independently or being engaged in delayed imitation. Through a precise study of the effects of the imitation delay on the structure of the interpersonal maps, we show the potential of this “we-centric” space to account for both imitative and non imitative interactions.
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References
Gibson, J.J.: The theory of affordances. In: Shaw, R., Bransford, J. (eds.) Perceiving, Acting, and Knowing, Lawrence Erlbaum Associates, Hillsdale, NJ (1977)
Kaplan, F., Hafner, V.V.: The challenges of joint attention. Interaction Studies 7(2), 129–134 (2006)
Gibson, J.J.: The Ecological Approach to Visual Perception. Houghton-Mifflin, Boston (1979)
Kaplan, F., Hafner, V.V.: Information-theoretic framework for unsupervised activity classification. Advanced Robotics 20(10), 1087–1103 (2006)
Shannon, C., Weaver, W.: The mathematical theory of communication. University of Illinois Press (1962)
Cover, T., Thomas, J.: Elements of information theory. John Wiley and Sons, Inc., Chichester (1991)
Kullback, S.: Information theory and statistics. Dover, Mineola, NY (1968)
Tononi, G., Edelman, G., Sporns, O.: Complexity and coherency: integrating information in the brain. Trends in cognitive sciences 2(12), 474–484 (1998)
Sporns, O., Pegors, T.: Information-theoretical aspects of embodied artificial intelligence. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds.) Embodied Artificial Intelligence. LNCS (LNAI), vol. 3139, pp. 74–85. Springer, Heidelberg (2004)
Crutchfield, J.P.: Information and its metric. In: Lam, L., Morris, H.C. (eds.) Nonlinear Structures in Physical Systems – Pattern Formation, Chaos, and Waves, pp. 119–130. Springer, Heidelberg (1990)
Meltzoff, A., Gopnick, A.: The role of imitation in understanding persons and developing a theory of mind. In: Baron-Cohen, S., Tager-Flusberg, H., Cohen, D. (eds.) Understanding other minds, pp. 335–366. Oxford University Press, Oxford (1993)
Moore, C., Corkum, V.: Social understanding at the end of the first year of life. Developmental Review 14, 349–372 (1994)
Gallese, V.: The manifold nature of interpersonal relations: the quest for a common mechanism. In: Frith, C., Wolpert, D. (eds.) The Neuroscience of Social Interaction, pp. 159–182. Oxford University Press, Oxford, UK (2004)
Pierce, D., Kuipers, B.: Map learning with uninterpreted sensors and effectors. Artificial Intelligence 92, 169–229 (1997)
Kuipers, B., Besson, P., Modayil, J., Provost, J.: Bootstrap learning of foundational representations. Connection Science 18(2) (2006)
Olsson, L., Nehaniv, C., Polani, D.: From unknown sensors and actuators to actions grounded in sensorimotor perceptions. Connection Science 18(2) (2006)
Kuniyoshi, Y., Yorozu, Y., Ohmura, Y., Terada, K., Otani, T., Nagakubo, A., Yamamoto, T.: From humanoid embodiment to theory of mind. In: Embodied Artificial Intelligence, pp. 202–218. Springer, Heidelberg (2004)
Schreiber, T.: Measuring information transfer. Physical Review Letters 85(2), 461–464 (2000)
Olsson, L., Nehaniv, C., Polani, D.: Sensor adaptation and development in robots by entropy. In: CIRA 2005. Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation, Espoo, Finland, IEEE Computer Society Press, Los Alamitos (2005)
Amari, S., Nagaoka, H.: Methods of information geometry, vol. 191. Oxford University Press, Oxford, UK (2000) Translations of mathematical monographs
Lafferty, J., Lebanon, G.: Diffusion kernels on statistical manifolds. Journal of Machine Learning Research 6, 129–163 (2005)
Hafner, V.V.: Cognitive maps for navigation in open environments. In: IAS-6. Proceedings of the 6th International Conference on Intelligent Autonomous Systems, Venice, Italy, pp. 801–808 (2000)
Duckett, T., Marsland, S., Shapiro, J.: Fast, on-line learning of globally consistent maps. Autonomous Robots 12, 297–300 (2002)
Pierce, D.M.: Map Learning with Uninterpreted Sensors and Effectors. PhD thesis, The University of Texas at Austin (1995)
Steels, L., Kaplan, F.: Aibo’s first words: The social learning of language and meaning. Evolution of Communication 4(1), 3–32 (2000)
Hafner, V.V., Kaplan, F.: Learning to interpret pointing gestures: experiments with four-legged autonomous robots. In: Wermter, S., Palm, G., Elshaw, M. (eds.) Biomimetic Neural Learning for Intelligent Robots. LNCS (LNAI), vol. 3575, pp. 225–234. Springer, Heidelberg (2005)
Schaffer, H.: Early interactive development in studies of mother-infant interaction. In: Proceedings of Loch Lomonds Symposium, pp. 3–18. Academic Press, New York (1977)
Kaye, K.: The mental and social life of babies. University of Chicago Press, Chicago (1982)
Kaplan, F., Oudeyer, P.Y.: The progress-drive hypothesis: an interpretation of early imitation. In: Dautenhahn, K., Nehaniv, C. (eds.) Models and Mechanims of Imitation and Social Learning: Behavioural, Social and Communication Dimensions, pp. 361–377. Cambridge University Press, Cambridge (2007)
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Hafner, V.V., Kaplan, F. (2008). Interpersonal Maps: How to Map Affordances for Interaction Behaviour. In: Rome, E., Hertzberg, J., Dorffner, G. (eds) Towards Affordance-Based Robot Control. Lecture Notes in Computer Science(), vol 4760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77915-5_1
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DOI: https://doi.org/10.1007/978-3-540-77915-5_1
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