Abstract
Robotic agents can self-organize their interaction with the environment by an adaptive “homeokinetic” controller that simultaneously maximizes sensitivity of the behavior and predictability of sensory inputs. Based on previous work with single robots, we study the interaction of two homeokinetic agents. We show that this paradigm also produces quasi-social interactions among artificial agents. The results suggest that homeokinetic learning generates social behavior only in the the context of an actual encounter of the interaction partner while this does not happen for an identical stimulus pattern that is only replayed. This is in agreement with earlier experiments with human subjects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Der, R., Hesse, F., Martius, G.: Learning to feel the physics of a body. In: Proc. CIMCA-IAWTIC 2006, Washington, DC, pp. 252–257. IEEE Computer Society, Los Alamitos (2005)
Der, R., Hesse, F., Martius, G.: Rocking stamper and jumping snake from a dynamical system approach to artificial life. Adaptive Behavior 14, 105–115 (2006)
Der, R., Martius, G., Hesse, F.: Research webpage (2008), http://robot.informatik.uni-leipzig.de/Videos
Der, R., Steinmetz, U., Pasemann, F.: Homeokinesis - a new principle to back up evolution with learning. In: Computational Intelligence for Modelling, Control, and Automation, vol. 55, pp. 43–47. IOS Press, Amsterdam (1999)
Nolfi, S.: Emergence of Communication in Embodied Agents: Co-Adapting Communicative and Non-Communicative Behaviours. Connection Science 17, 231–248 (2005)
Auvray, M., Lenay, C., Stewart, J.: The attribution of intentionality in a simulated environment: the case of minimalist devices. In: Tenth Meeting of the Association for the Scientific Study of Consciousness, Oxford (2006)
Trevarthen, C.: The self born in intersubjectivity: The psychology of an infant communicating. In: Neisser, U. (ed.) The perceived Self, pp. 121–173. Cambridge Univerity Press, Cambridge (1993)
Di Paolo, E.A., Rohde, M., Iizuka, H.: Sensitivity to social contingency or stability of interaction? modelling the dynamics of perceptual crossing. New Ideas in Psychology, Special Issue on Dynamics and Psychology (in press, 2008)
Iizuka, H., Di Paolo, E.A.: Minimal agency detection of embodied agents. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds.) ECAL 2007. LNCS (LNAI), vol. 4648, pp. 485–494. Springer, Heidelberg (2007)
Der, R., Martius, G., Hesse, F.: Let it roll – emerging sensorimotor coordination in a spherical robot. In: Rocha, L.M., et al. (eds.) Artificial Life X: 10th Int. Conf. on the Simulation and Synthesis of Living Systems, pp. 192–198. MIT Press, Cambridge (2006)
Martius, G., Herrmann, J.M., Der, R.: Guided self-organisation for autonomous robot development. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds.) ECAL 2007. LNCS (LNAI), vol. 4648, pp. 766–775. Springer, Heidelberg (2007)
Rohde, M., Di Paolo, E.: An evolutionary robotics simulation of human minimal social interaction. In: Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J.C.T., Marocco, D., Meyer, J.-A., Miglino, O., Parisi, D. (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 485–497. Springer, Heidelberg (2006)
Stormark, K.M., Braarud, H.C.: Infants’ sensitivity to social contingency. Infant Behavior & Development 27, 195–203 (2004)
Herrmann, J.M.: Dynamical systems for predictive control of autonomous robots. Theory in Biosciences 120, 241–252 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martius, G., Nolfi, S., Herrmann, J.M. (2008). Emergence of Interaction among Adaptive Agents. In: Asada, M., Hallam, J.C.T., Meyer, JA., Tani, J. (eds) From Animals to Animats 10. SAB 2008. Lecture Notes in Computer Science(), vol 5040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69134-1_45
Download citation
DOI: https://doi.org/10.1007/978-3-540-69134-1_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69133-4
Online ISBN: 978-3-540-69134-1
eBook Packages: Computer ScienceComputer Science (R0)