Quantifying Anticipatory Characteristics. The AnticipationScope™ and the AnticipatoryProfile™

  • Mihai Nadin
Part of the Studies in Computational Intelligence book series (SCI, volume 486)


Anticipation has frequently been acknowledged, but mainly on account of qualitative observations. To quantify the expression of anticipation is a challenge in two ways: (1) Anticipation is unique in its expression; (2) given the non-deterministic nature of anticipatory processes, to describe quantitatively how they take place is to describe not only successful anticipations, but also failed anticipations. The AnticipationScope is an original data acquisition and data processing environment. The Anticipatory Profile is the aggregate expression of anticipation as a realization in the possibility space. A subsystem of the AnticipationScope could be a predictive machine that monitors the performance of deterministic processes.


Anticipation Diagnostic Possibility Prediction Process 



The presentation within the International Workshop on Next Generation Intelligent Medical Support Systems (Tîrgu Mureş, September 18–19, 2011) was made possible by the Hanse Institute for Advanced Study (Hanse Wissenschaftskolleg, Germany). The author benefited from feedback from Dr. Michael Devous (Brain Imaging, University of Texas-Southwestern Medical Center), Dr. Navzer Engineer (Neuroscience, University of Texas at Dallas), Dr. Mark Feldman (Presbyterian Hospital of Dallas). Bujor Rîpeanu provided a copy of George Marinescu’s film recordings. Andres Kurismaa, a graduate student from Estonia, provided valuable insight into Bernstein’s work. Irina Sukhotina facilitated contacts with the scientists in Russia researching Bernstein’s legacy. Elvira Nadin provided research expertise in all the experiments, and in the various versions of this chapter. The author expresses his gratitude to Barna Iantovics an Calin Comes for their help in preparing the manuscript for print. AnticipationScope and Anticipatory Profile are trademarks belonging to Mihai Nadin.


  1. 1.
    Barboi, A., Goetz, C.G., Musetoiu, R.: MD Georges Marinesco and the early research in neuropathology. Neurology 72, 88–91 (2009)CrossRefGoogle Scholar
  2. 2.
    Bernstein N.: Kymocyclographic Methods of Investigating Movement, Handbuch der biologischen Arbeitsmethoden. Abt. 5. Methoden zum Studium der Funktionen der einzelnen Organe des tierischen Organismits. Teil 5a, Heft 4, Urban und Schwarzenberg, Berlin/Vienna, (1928).Google Scholar
  3. 3.
    Bernstein, N.: Essays on the physiology of movements and physiology of activity. In: Gazenko, O.G. (ed.) Series: Classics of Science. Publisher: Nauka (Science), (under the scientific direction of I. M. Feigenberg.) (1990) Book in RussianGoogle Scholar
  4. 4.
    Bongaardt, R., Meijer, O.G.: Bernstein’s theory of movement behavior: historical development and contemporary relevance. J. Mot. Behav. 32(1), 57–71 (2000)CrossRefGoogle Scholar
  5. 5.
    Gallese, V.: The Inner Sense of Action: Agency and Motor Representations. J. Conscious. Stud. 7(10), 23–40 (2000)Google Scholar
  6. 6.
    Gahery, Y.: Associated movements, postural adjustments and synergy: some comments about the history and significance of three motor concepts. Arch. Ital. Biol. 125, 345–360 (1987)Google Scholar
  7. 7.
    Goldfarb L., Golubitsky O.: What is a structural measurement process? Faculty of computer science, University of New Brunswick, Canada. 30 Nov 2001
  8. 8.
    Latash, M.L. (ed.): Progress in Motor Control: Bernstein’s Traditions in Movement Studies, Human Kinetics, vol. 1. Champaign, IL (1998)Google Scholar
  9. 9.
    Nadin, M.: MIND—Anticipation and Chaos. Belser Presse, Stuttgart/Zurich (1991)Google Scholar
  10. 10.
    Nadin M.: Anticipation and dynamics: Rosen’s anticipation in the perspective of time. (Special issue) Int. J. Gen. Syst. 39, 1 (2010) (Taylor and Blackwell, London, pp 3–33)Google Scholar
  11. 11.
    Nadin M.: Play’s the thing. A wager on healthy aging. In: Bowers J.C. Bowers C (eds) Serious Game Design and Development, vol. 28(8), pp. 150–177, IGI, Hershey (2010)Google Scholar
  12. 12.
    Nadin M.: The anticipatory profile. An attempt to describe anticipation as process. Int. J. Gen. Syst. 41(1), 43–75 (2012) (Taylor and Blackwell, London)Google Scholar
  13. 13.
    Rizzolati, G., Fadiga, L., Gallese, V., Fogassi, L.: Premotor cortex and the recognition of motor actions. Cogn. Brain Res. 3, 131–141 (1996)CrossRefGoogle Scholar
  14. 14.
    Rosen, R.: Anticipatory Systems. Pergamon, New York (1985)zbMATHGoogle Scholar
  15. 15.
    Ruy de Figuieredo, J.P.: Cognitive signal processing: an emerging technology for the Prediction of behavior of complex human/machine. In: IEEE Conference on Communications, Circuits, and Systems—ICCCAS, San Jose, (2009)Google Scholar
  16. 16.
    Savage, T.: Adaptability in organisms and artifacts: A multi-level perspective on adaptive processes. Cogn. Syst. Res. Elsevier, Amsterdam 11(3), 231–242 (2010)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute for Research in Anticipatory SystemsUniversity of Texas at DallasRichardsonUSA

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