创造力
约束(计算机辅助设计)
创造性地解决问题
任务(项目管理)
类型学
约束满足对偶问题
约束学习
心理学
创意技巧
分离(微生物学)
情感(语言学)
计算机科学
认知心理学
管理科学
社会心理学
约束满足
人工智能
数学
社会学
局部一致性
经济
沟通
管理
人类学
微生物学
生物
概率逻辑
几何学
标识
DOI:10.1177/20413866231202031
摘要
Research suggests that extreme levels of constraint can push people to use different types of creative problem solving, but this conflicts with recent theory arguing that individuals are most creative under a moderate level of constraint. To resolve this issue, this paper proposes a combinatorial theory of constraints that argues it is necessary to understand how multiple dimensions of constraint (e.g., on problems and resources) work together to influence creativity, rather than study them in isolation. Accordingly, two conditions can enhance creativity—either through divergent problem solving or emergent problem solving—because they produce an overall balanced combination of constraint that improves important psychological mechanisms of creativity such as intrinsic motivation and creative search. Alternatively, two other conditions can hinder creativity—either due to ambiguous opportunity or futile effort—because they produce a combined low or high level of constraint on a task.
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