Co-Evolution of the General Factor of Personality and the Big Five Factors: A Mathematical Model and Its Application to Methylphenidate

被引:0
|
作者
Caselles, Antonio [1 ]
Mico, Joan C. [2 ]
Amigo, Salvador [3 ]
Romero, Pantaleon D. [4 ]
机构
[1] Univ Valencia, Dept Matemat Aplicada, Int Acad Syst & Cybernet Sci IASCYS, Burjassot, Spain
[2] Univ Politecn Valencia, Inst Univ Matemat Multidisciplinar, Valencia, Spain
[3] Univ Valencia, Dept Personalitat Avaluacio & Tractaments Psicol, Valencia, Spain
[4] Dept Matemat Fis & Ciencias Tecnol, Carrer San Bartolome 55, Valencia 46115, Spain
关键词
Differential equations; forecasting; nonlinear dynamical modeling; D-AMPHETAMINE; INDIVIDUAL-DIFFERENCES; IMPULSIVITY; ADDICTION; DYNAMICS;
D O I
10.1080/01969722.2022.2086519
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This study presents a generalization of a mathematical model, called the "bridge model" in Literature, to study the co-evolution or dynamical relationship between the General Factor of Personality (GFP) and the Big Five Factors (B5F) as a consequence of a stimulus. This generalization permits its application here to study such co-evolution after a dose intake of methylphenidate. On the one hand, a stimulus-response model, an integro-differential equation called the "response model," predicts the short-term effects of a stimulus on the GFP and on the B5F. The fact that both the GFP and the B5F dynamics can be described by the response model is here referred as the "invariance principle." On the other hand, the invariance principle leads to the derivation of the bridge model: a second order partial differential equation that relates every B5F to the GFP and time. The outcomes of both experimental designs permit the validation of the response model and of the new bridge model.
引用
收藏
页码:88 / 106
页数:19
相关论文
共 50 条
  • [1] A general factor of personality: Evidence for the Big One in the five-factor model
    Musek, Janek
    [J]. JOURNAL OF RESEARCH IN PERSONALITY, 2007, 41 (06) : 1213 - 1233
  • [2] A general model of co-evolution for Genetic Algorithms
    Morrison, J
    Oppacher, F
    [J]. ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, 1999, : 262 - 268
  • [3] From the Big Five to the General Factor of Personality: a Dynamic Approach
    Mico, Joan C.
    Amigo, Salvador
    Caselles, Antonio
    [J]. SPANISH JOURNAL OF PSYCHOLOGY, 2014, 17
  • [4] A MATHEMATICAL-MODEL FOR THE CO-EVOLUTION OF OBLIGATE PARASITES AND THEIR HOSTS
    MODE, CJ
    [J]. EVOLUTION, 1958, 12 (02) : 158 - 165
  • [5] Big Five or Big Two? Superordinate factors in the NEO Five Factor Inventory and the Antisocial Personality Questionnaire
    Blackburn, R
    Renwick, SJD
    Donnelly, JP
    Logan, C
    [J]. PERSONALITY AND INDIVIDUAL DIFFERENCES, 2004, 37 (05) : 957 - 970
  • [6] Bee and Frog Co-Evolution Algorithm and its application
    Wang, Hong-bo
    Ren, Xue-Na
    Tu, Xu-yan
    [J]. APPLIED SOFT COMPUTING, 2017, 56 : 182 - 198
  • [7] Maladaptive personality functioning within the big five and the five-factor model
    Coker, LA
    Samuel, DB
    Widiger, TA
    [J]. JOURNAL OF PERSONALITY DISORDERS, 2002, 16 (05) : 385 - 401
  • [8] A Chinese co-validation journey through the structure of personality: From the General Factor of Personality to Big Five plus Initiative
    Kurz, Rainer H.
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2016, 51 : 899 - 899
  • [9] Causal uncertainty: Factor structure and relation to the big five personality factors
    Edwards, JA
    Weary, G
    Reich, DA
    [J]. PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN, 1998, 24 (05) : 451 - 462
  • [10] Classroom ratings of likeability and popularity are related to the Big Five and the general factor of personality
    van der Linden, Dimitri
    Scholte, Ron H. J.
    Cillessen, Antonius H. N.
    Nijenhuis, Jan Te
    Segers, Eliane
    [J]. JOURNAL OF RESEARCH IN PERSONALITY, 2010, 44 (05) : 669 - 672