The Minimum Entropy Principle and Task Performance

Stephen J. Guastello; Hillary Gorin; Samuel Huschen; Natalie E.Peters; Megan Fabisch; Kirsten Poston; Kelsey Weinberger

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The Minimum Entropy Principle and Task Performance

机译：最小熵原理和任务绩效

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According to the minimum entropy principle, efficient cognitive performance is produced with a neurocognitive strategy that involves a minimum of degrees of freedom. Although high performance is often regarded as consistent performance as well, some variability in performance still remains which allows the person to adapt to changing goal conditions or fatigue. The present study investigated the connection between performance, entropy in performance, and four task-switching strategies. Fifty-one undergraduates performed 7 different computer-based cognitive tasks producing sets of 49 responses under instructional conditions requiring task quotas or no quotas. The temporal patterns of performance were analyzed using orbital decomposition to extract pattern types and lengths, which were then compared with regard to Shannon entropy, topological entropy, and overall performance. Task switching strategies from a previous study were available for the same participants as well. Results indicated that both topological entropy and Shannon entropy were negatively correlated with performance. Some task-switching strategies produced lower entropy in performance than others. Stepwise regression showed that the top three predictors of performance were Shannon entropy and arithmetic and spatial abilities. Additional implications for the prediction of work performance with cognitive ability measurements and the applicability of the minimum entropy principle to multidimensional performance criteria and team work are discussed.

机译：根据最小熵原理，通过涉及最小自由度的神经认知策略可以产生有效的认知表现。尽管高性能通常也被认为是稳定的表现，但是仍然存在一些表现上的差异，使人们能够适应不断变化的目标条件或疲劳。本研究调查了性能，性能熵和四种任务切换策略之间的联系。 51名大学生在要求任务配额或无配额的教学条件下，执行了7种不同的基于计算机的认知任务，生成了49组响应。使用轨道分解分析性能的时间模式，以提取模式类型和长度，然后将其与香农熵，拓扑熵和总体性能进行比较。先前研究中的任务切换策略也可用于相同的参与者。结果表明，拓扑熵和香农熵均与性能呈负相关。一些任务切换策略产生的熵低于其他任务。逐步回归表明，性能的前三个预测指标是香农熵和算术与空间能力。讨论了通过认知能力测量来预测工作绩效以及最小熵原理对多维绩效标准和团队工作的适用性的其他含义。

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来源
《Nonlinear dynamics, psychology and life sciences》 |2013年第3期|405-423|共19页
作者
Stephen J. Guastello; Hillary Gorin; Samuel Huschen; Natalie E.Peters; Megan Fabisch; Kirsten Poston; Kelsey Weinberger;
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作者单位

Stephen J. Guastello, Ph.D., Professor of Psychology, Marquette University, P. O. Box 1881, Milwaukee,WI 53201-1881;

Marquette University, Milwaukee,WI;

Marquette University, Milwaukee,WI;

Marquette University, Milwaukee,WI;

Marquette University, Milwaukee,WI;

Marquette University, Milwaukee,WI;

Marquette University, Milwaukee,WI;

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正文语种 eng
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关键词
topological entropy; Shannon entropy; orbital decomposition; task switching; fatigue; performance;

机译：拓扑熵香农熵轨道分解任务切换;疲劳;性能;

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6. Semi-Supervised Minimum Error Entropy Principle with Distributed Method [O] . Baobin Wang, Ting Hu 2018

机译：分布式方法半监督最低误差熵原理
7. Comments on and correction to "Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy" (Jan 80 26-37) Corresp. [O] . R. Johnson, J. Shore 1983

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8. Axiomatic Derivation of the Principle of Maximum Entropy and the Principle of Minimum Cross-Entropy. [R] . shore, j. e. johnson, r. w. 1978

机译：最大熵原理的公理化推导及最小交叉熵原理。

The Minimum Entropy Principle and Task Performance

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