skip to main content
10.1145/2160749.2160783acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
research-article

Computer simulation of stick balancing: action point analysis

Authors Info & Claims
Published:08 March 2012Publication History

ABSTRACT

We analyze data collected during the series of experiments aimed at elucidation of basic properties of human perception, namely, the limited capacity of ordering events, actions, etc. according to their preference. Previously it was shown that in a wide class of human-controlled systems small deviations from the equilibrium position do not cause any actions of the system's operator, so any point in a certain neighborhood of equilibrium position is treated as an equilibrium one. This phenomenon can be described by the notion of dynamical traps that was introduced to denote a region in the system phase space where the object under consideration cannot clearly determine the most preferable of the positions that are similar in some sense. According to this concept, the motion of the system in the dynamical trap region is mainly not affected by the operator. The moments of time when the system leaves the dynamical trap region, or in other words, when the operator decides to start or stop the control over the system, are called action points [1]. These moments are seem to be determined intuitively by the operator, and the purpose of our work is to understand the nature of such intuitive decision making process by investigating the action points data obtained from the experiments.

References

  1. Todosiev, E. P., The action point model of the driver-vehicle system, Techical Report 202A-3 (Ph.D. thesis), Ohio State University, 1963.Google ScholarGoogle Scholar
  2. Chakrabarti, B. K., Chakraborti, A., and Chatterjee, A. (eds.) Econophysics and Sociophysics: Trends and Perspectives, (Wiley VCH Verlag, Weinheim, 2006).Google ScholarGoogle Scholar
  3. Galam, S., Sociophysics: A review of Galam models, Int. J. Mod. Phys. 19 (2008) 409--440.Google ScholarGoogle ScholarCross RefCross Ref
  4. Castellano, C., Fortunato, S., and Loreto, V. Statistical physics of social dynamics, Rev. Mod. Phys. 81 (2009) 591--646.Google ScholarGoogle ScholarCross RefCross Ref
  5. Nowak, A, and Strawinska, U., Applications of Physics and Mathematics to Social Science, Introduction to, in Encyclopedia of Complexity and Systems Science, ed. Meyers, R. A. (2009 SpringerScience+Business Media, LLC., New York, 2009), pp. 322--326.Google ScholarGoogle Scholar
  6. Slanina, F., Social Processes, Physical Models of, in ibid. pp. 8379--8405.Google ScholarGoogle Scholar
  7. Helbing, D. and Johansson, A., Pedestrian, Crowd and Evacuation Dynamics, in ibid., pp. 6476--6495.Google ScholarGoogle Scholar
  8. Lubashevsky, I. A., Mahnke, R., Hajimahmoodzadeh, M., and Katsnelson, A., Long-lived states of oscillator chains with dynamical traps, Eur. Phys. J. B 44 (2005) 63--70.Google ScholarGoogle ScholarCross RefCross Ref
  9. Lubashevsky, I, Hajimahmoodzadeh, M., Katsnelson, A., and Wagner, P., Noise-induced phase transition in an oscillatory system with dynamical traps, Eur. Phys. J. B 36 (2003) 115--118.Google ScholarGoogle ScholarCross RefCross Ref
  10. Lubashevsky, I. A., Gafiychuk, V. V., and Demchuk, A. V., Anomalous relaxation oscillations due to dynamical traps, Physica A 255 (1998) 406--414.Google ScholarGoogle ScholarCross RefCross Ref
  11. Lubashevsky, I., Mahnke, R., Wagner, P., Kalenkov, S., Long-lived states in synchronized traffic flow: Empirical prompt and dynamical trap model, Phys. Rev. E 66 (2002) 016117.Google ScholarGoogle ScholarCross RefCross Ref
  12. Zaslavsky, G. M., Hamiltonian Chaos and Fractional Dynamics (Oxford University Press, 2005).Google ScholarGoogle Scholar

Index Terms

  1. Computer simulation of stick balancing: action point analysis

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        HCCE '12: Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
        March 2012
        277 pages
        ISBN:9781450311915
        DOI:10.1145/2160749

        Copyright © 2012 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 March 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        HCCE '12 Paper Acceptance Rate48of81submissions,59%Overall Acceptance Rate48of81submissions,59%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader