Multiple perspective dynamic decision making

Multiple perspective dynamic decision making
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DOI:
10.1016/s0004-3702(98)00082-4
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发表时间:
1998-10-01
影响因子:
14.4
通讯作者:
Leong, TY
Leong, TY
中科院分区:
计算机科学2区
文献类型:
--
作者:
Leong, TY

文献摘要

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决策往往需要从不同角度进行审议。不同的视角或观点支持适合同一话语中不同类型或阶段的推理的知识获取和表示。这项工作提出了随着时间的推移和不确定性情况下的多视角决策的一般范式。基于统一的任务定义和相关决策问题的通用词汇,这种新范式平衡了当前决策框架中模型透明度和解决方案效率之间的权衡。新范式激发了DynaMoL(动态决策建模语言)的设计,DynaMoL是一种用于建模和解决动态决策问题的通用语言。 DynaMoL 框架将建模任务的推理和表征支持与解决方案或计算任务区分开来。动态决策语法定义了可扩展的决策本体,并支持具有多个接口的复杂问题规范。图形表示约定控制着多个视角的参数可视化。半马尔可夫决策过程的数学表示有利于形式化模型分析并允许多种求解方法。设计了一组通用翻译技术来管理决策参数和约束的不同观点和表示。通过一些全面的医学案例研究,对 DynaMoL 的原型实施进行了评估。结果证明了该框架的实际前景,(C) 1998 Elsevier Science B.V. 保留所有权利。
Decision making often involves deliberations in different perspectives. Distinct perspectives or views support knowledge acquisition and representation suitable for different types or stages of inference in the same discourse. This work presents a general paradigm for multiple perspective decision making over time and under uncertainty. Based on a unifying task definition and a common vocabulary for the relevant decision problems, this new paradigm balances the trade-off between model transparency and solution efficiency in current decision frameworks.The new paradigm motivates the design of DynaMoL (Dynamic decision Modeling Language), a general language for modeling and solving dynamic decision problems. The DynaMoL framework differentiates inferential and representational support for the modeling task from the solution or computation task. The dynamic decision grammar defines an extensible decision ontology and supports complex problem specification with multiple interfaces. The graphical presentation convention governs parameter visualization in multiple perspectives. The mathematical representation as semi-Markov decision process facilitates formal model analysis and admits multiple solution methods. A set of general translation techniques is devised to manage the different perspectives and representations of the decision parameters and constraints. DynaMoL has been evaluated on st prototype implementation, via some comprehensive case studies in medicine. The results demonstrate practical promise of the framework, (C) 1998 Elsevier Science B.V. All rights reserved.