Attentional Modulation of Mutually Dependent Behaviors

  • Ernesto Burattini
  • Silvia Rossi
  • Alberto Finzi
  • Mariacarla Staffa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6226)

Abstract

In this paper, we investigate simple attentional mechanisms suitable for sensing rate regulation and action coordination in the presence of mutually dependent behaviors. We present our architecture along with a case study where a real robotic system is to manage and harmonize conflicting tasks. This research focuses on attentional mechanisms for regulating the frequencies of sensor readings and action activations in a behavior-based robotic system. Such mechanisms are to direct sensors toward the most salient sources of information and filter the available sensory data to prevent unnecessary information processing.

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References

  1. 1.
    Arbib, M.A.: Schema theory. In: The Handbook of Brain Theory and Neural Networks, pp. 830–834. MIT Press, Cambridge (1998)Google Scholar
  2. 2.
    Ballard, D.H.: Animate vision. Artif. Intell. 48(1), 57–86 (1991)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Beccari, G., Caselli, S., Zanichelli, F.: A technique for adaptive scheduling of soft real-time tasks. Real-Time Syst. 30(3), 187–215 (2005)MATHCrossRefGoogle Scholar
  4. 4.
    Burattini, E., Rossi, S.: Periodic adaptive activation of behaviors in robotic system. Int. J. Pattern Recognition and Artificial Intelligence 22(5), 987–999 (2008)CrossRefGoogle Scholar
  5. 5.
    Burattini, E., Rossi, S.: Periodic activations of behaviours and emotional adaptation in behaviour-based robotics. Connection Science 22 (in press, 2010)Google Scholar
  6. 6.
    Cooper, R., Shallice, T.: Contention scheduling and the control of routine activities. Cognitive Neuropsychology 17, 297–338 (2000)CrossRefGoogle Scholar
  7. 7.
    Coull, J., Nobre, A.: Where and when to pay attention: The neural systems for directing attention to spatial locations and to time intervals as revealed by both pet and fmri. Journal of Neuroscience 18(18), 7426–7435 (1998)Google Scholar
  8. 8.
    Harbluk, J.L., Noy, Y.I., Eizenmann, M.: Impact of cognitive distraction on driver visual behavior and vehicle control. Tech. Rep., 81st Annual Meeting of the Transportation Research Board, Washington, DC (January 2002)Google Scholar
  9. 9.
    Maes, P.: A bottom-up mechanism for behavior selection in an artificial creature. In: Proc. of the First Intern. Conf. on Simulation of Adaptive Behavior on From Animals to Animats, pp. 238–246. MIT Press, Cambridge (1990)Google Scholar
  10. 10.
    Miniussi, C., Wilding, E., Coull, J., Nobre, A.: Orienting attention in time: Modulation of brain potentials. Brain (122), 1507–1518 (1999)Google Scholar
  11. 11.
    Niebur, E., Hsiao, S.S., Johnson, K.O.: Synchrony: a neuronal mechanism for attentional selection? Curr. Opin. Neurobiol. 12(2), 190–194 (2002)CrossRefGoogle Scholar
  12. 12.
    Norman, D.A., Shallice, T.: Attention to action: willed and automatic control of behaviour. In: Davidson, R.J., Schwartz, G.E., Shapiro, D. (eds.) Consciousness and Self-regulation: Advances in Research, vol. IV, pp. 1–18. Plenum Press, New York (1986)Google Scholar
  13. 13.
    Parisi, D.: Internal robotics. Connect. Sci. 16(4), 325–338 (2004)CrossRefGoogle Scholar
  14. 14.
    Pashler, H.E.: Divided Attention. In: The Psychology of Attention, pp. 101–166. MIT Press, MA (1998)Google Scholar
  15. 15.
    Patten, C.J.D., Kircher, A., Ostlund, J., Nilsson, L.: Using mobile telephones: cognitive workload and attention resource allocation. Accid. Anal. Prev. 36(3), 341–350 (2004)CrossRefGoogle Scholar
  16. 16.
    Wasson, G., Kortenkamp, D., Huber, E.: Integrating active perception with an autonomous robot architecture. Rob. Autom. Syst. 26, 325–331 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ernesto Burattini
    • 1
  • Silvia Rossi
    • 1
  • Alberto Finzi
    • 1
  • Mariacarla Staffa
    • 1
  1. 1.Dipartimento di Scienze FisicheUniversity of Naples ”Federico II”NaplesItaly

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