最大熵原理
清晰
TRIPS体系结构
计算机科学
运筹学
最大熵法
约束(计算机辅助设计)
资源配置
选择(遗传算法)
数学优化
功能(生物学)
计量经济学
管理科学
经济
数学
人工智能
统计物理学
化学
生物化学
进化生物学
物理
并行计算
生物
几何学
计算机网络
标识
DOI:10.1080/10286608.2023.2234305
摘要
Two different applications of Jaynes’ maximum entropy framework, maxEnt, are given. The purpose is to show how maxEnt stimulates questions about the relations between the formal structure of the maxEnt model and the practical, possibly political, considerations which arise when deciding the objective function and the constraints. While these points do not lead to computationally complicated models they do raise important questions about the relationship between model form and the environment in which it is used. The first example is from urban and transportation planning. The use of maxEnt to derive the allocation of trips, the gravity model, brought benefits of clarity but also raised an important question with policy implications: should journey cost rightly be a behavioural constraint in the model or should it be considered an output? The policy implications are discussed. The second case was initially stimulated by personnel selection and raises the possibility that it is not always clear what maxEnt should be optimising, what should we be minimally discriminating about? The issue is quite general and is illustrated by the choice of a scheme for water resource allocation.
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