An exploration of cultural variation in self-enhancing and self-improving motivations

被引：0
|
作者：
Heine, SJ [1 ]
机构：
[1] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
来源：
CROSS-CULTURAL DIFFERENCES IN PERSPECTIVES ON THE SELF | 2003年 / 49卷
关键词：
D O I：
暂无
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
引用
收藏
页码：101 / 128
页数：28
相关论文
共 50 条
  • [21] RESPONSIBLE ASSERTION - SELF-ENHANCING TOOL
    WASHINGTON, CS
    [J]. JOURNAL OF COLLEGE STUDENT DEVELOPMENT, 1978, 19 (03) : 285 - 286
  • [22] Is regret for inaction relatively self-enhancing?
    Feeney, A
    Gardiner, DR
    Johnston, K
    Jones, E
    McEvoy, RJ
    [J]. APPLIED COGNITIVE PSYCHOLOGY, 2005, 19 (06) : 761 - 777
  • [23] CLASSROOM IMPLEMENTATION OF SELF-ENHANCING EDUCATION
    WILLIAMS, JD
    [J]. PSYCHOLOGICAL REPORTS, 1974, 34 (01) : 137 - 138
  • [24] On the Limits of Recursively Self-Improving AGI
    Yampolskiy, Roman V.
    [J]. ARTIFICIAL GENERAL INTELLIGENCE (AGI 2015), 2015, 9205 : 394 - 403
  • [25] Bootstrapping a Structured Self-Improving & Safe Autopoietic Self
    Waser, Mark R.
    [J]. 5TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES, 2014 BICA, 2014, 41 : 134 - 139
  • [26] Self-improving Algorithms for Delaunay Triangulations
    Clarkson, Kenneth L.
    Seshadhri, C.
    [J]. PROCEEDINGS OF THE TWENTY-FOURTH ANNUAL SYMPOSIUM ON COMPUTATIONAL GEOMETRY (SGG'08), 2008, : 148 - 155
  • [27] Self-improving Algorithms for Convex Hulls
    Clarkson, Kenneth L.
    Mulzer, Wolfgang
    Seshadhri, C.
    [J]. PROCEEDINGS OF THE TWENTY-FIRST ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS, 2010, 135 : 1546 - +
  • [28] Response properties of self-improving systems
    Krakovsky, Andrey
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2016, 144 (13):
  • [29] Designing Cooperating Self-Improving Systems
    Landauer, Christopher
    Bellman, Kirstie
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, 2015, : 273 - 278
  • [30] Analysis of Types of Self-Improving Software
    Yampolskiy, Roman V.
    [J]. ARTIFICIAL GENERAL INTELLIGENCE (AGI 2015), 2015, 9205 : 384 - 393
12345