Abstract
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.
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Acknowledgments
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.
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Nadin, M. (2014). Quantifying Anticipatory Characteristics. The AnticipationScope™ and the AnticipatoryProfile™. In: Iantovics, B., Kountchev, R. (eds) Advanced Intelligent Computational Technologies and Decision Support Systems. Studies in Computational Intelligence, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-00467-9_13
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