论文标题
组合多样性指标用于分析政策流程
Combinatorial diversity metrics for the analysis of policy processes
论文作者
论文摘要
我们提出了几种完全一般的多样性指标，以量化任何公共政策决策过程的解决问题能力。这是通过使用声明过程范例与通过线性时间逻辑中表达式建模的约束来对策略过程进行建模来执行的。我们介绍了一类称为“第一平行痕迹”的迹线，以表示声明过程的不同执行。关于这些过程的多样性度量应满足的属性的启发式方法，用于根据一组第一通道痕迹来得出这些过程的两个不同的指标。这些指标证明，根据过程痕迹的两个不同随机变量的熵，具有公式。此外，如果满足某些规定的线性时间逻辑表达式，则引入了“善良”的度量，从而将痕迹称为{\ it good}。这允许将政策过程与规定的“善良”概念进行比较。
We present several completely general diversity metrics to quantify the problem-solving capacity of any public policy decision making process. This is performed by modelling the policy process using a declarative process paradigm in conjunction with constraints modelled by expressions in linear temporal logic. We introduce a class of traces, called first-passage traces, to represent the different executions of the declarative processes. Heuristics of what properties a diversity measure of such processes ought to satisfy are used to derive two different metrics for these processes in terms of the set of first-passage traces. These metrics turn out to have formulations in terms of the entropies of two different random variables on the set of traces of the processes. In addition, we introduce a measure of `goodness' whereby a trace is termed {\it good} if it satisfies some prescribed linear temporal logic expression. This allows for comparisons of policy processes with respect to the prescribed notion of `goodness'.
