M. Commons, Robin Gane-McCalla, Cory David Barker, Eva Yujia Li
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引用次数: 32
摘要
层次复杂性模型(mhc)是一种基于“测量理论”的数学模型,它作为一个测量系统经历了多次迭代(Commons, Goodheart, Pekker, et al., 2005;Commons & Pekker, 2008;Commons & Richards, 1984a, 1984b;Commons, Trudeau, Stein, et all, 1998)。它提出了一个测量系统,通过这个系统,行动被放入一个等级顺序中,每个顺序被分配一个序数。在本文中,将描述模型的组成部分:动作和任务,度量和操作,以及公理,随后是公理中出现的属性的表达,然后描述任务的层次复杂性的顺序。这些是经过重新设计的更小的公理集,本质上更偏向于测量理论。它们也与mhc所带来的那种复杂性背后的非正式条件相似。
The model of hierarchical complexity as a measurement system
The model of hierarchical complexity (mhc) is a mathematical model based on the “Theory of Measurement” that has gone through a number of iterations as a measurement system (Commons, Goodheart, Pekker, et al., 2005; Commons & Pekker, 2008; Commons & Richards, 1984a, 1984b; Commons, Trudeau, Stein, et all, 1998). It sets forth the measurement system by which actions are put into a hierarchical order and each order is assigned an ordinal number. In this paper, the components of the model will be described: actions and tasks, measurement and operations, and the axioms, followed by an articulation of emerging properties from axioms, and then a description of orders of hierarchical complexity of tasks. These are a reworked smaller set of axioms, which are more measurement-theoretical in nature. They also parallel the informal conditions underlying the kind of complexity that the mhc entails.