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Mixing properties in human behavioral style and time dependencies in behavior identification: The modeling and application of a universal dynamical law

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Date Issued:
1992
Summary:
Human subjects perform simple, relatively unconstrained, game-like computer tasks. "Meso-level" measures of behavioral complexity and time-dependencies (including entropies, grammatical complexity estimates and run statistics) are derived and computed. Individual behavioral differences in the resulting complexity measures are robust and, in a temporal-forcing paradigm, are statistically significantly related to the same individual's scores on a range of personality and demographic variables. Through an experimental manipulation and the statistical selection of maximally useful predictor sets personality and demographic variables are united in a "macro-level" temperament typology, based on "micro-level" behavioral tendencies. Further, I can compute a parameter value of a one dimensional dynamical system, the symmetric tent map, matched to the symbol sequence "meso-level" parities of the subject. When this parameter is used in the iterated map, it produces sequences that are of the same autocorrelation "category" and share much of the fine structure of the autocorrelograms of the subjects to which the map parameter had been matched.
Title: Mixing properties in human behavioral style and time dependencies in behavior identification: The modeling and application of a universal dynamical law.
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Name(s): Selz, Karen A.
Florida Atlantic University, Degree grantor
Vallacher, Robin R., Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1992
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 172 p.
Language(s): English
Summary: Human subjects perform simple, relatively unconstrained, game-like computer tasks. "Meso-level" measures of behavioral complexity and time-dependencies (including entropies, grammatical complexity estimates and run statistics) are derived and computed. Individual behavioral differences in the resulting complexity measures are robust and, in a temporal-forcing paradigm, are statistically significantly related to the same individual's scores on a range of personality and demographic variables. Through an experimental manipulation and the statistical selection of maximally useful predictor sets personality and demographic variables are united in a "macro-level" temperament typology, based on "micro-level" behavioral tendencies. Further, I can compute a parameter value of a one dimensional dynamical system, the symmetric tent map, matched to the symbol sequence "meso-level" parities of the subject. When this parameter is used in the iterated map, it produces sequences that are of the same autocorrelation "category" and share much of the fine structure of the autocorrelograms of the subjects to which the map parameter had been matched.
Identifier: 12306 (digitool), FADT12306 (IID), fau:9209 (fedora)
Note(s): Charles E. Schmidt College of Science
Thesis (Ph.D.)--Florida Atlantic University, 1992.
Subject(s): Rape victims
Attribution (Social psychology)
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/12306
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.