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On the potential use of adaptive control methods for improving adaptive natural resource management

机译:关于自适应控制方法在改善自适应自然资源管理中的潜在用途

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摘要

The paradigm of adaptive natural resource management (AM), in which experiments are used to learn about uncertain aspects of natural systems, is gaining prominence as the preferred technique for the administration of large-scale environmental projects. To date, however, tools consistent with economic theory have yet to be used to either evaluate AM strategies or improve decision making in this framework. Adaptive control (AC) techniques provide such an opportunity. This paper demonstrates the conceptual link between AC methods, the alternative treatment of realized information during a planning horizon, and AM practices, shows how the different assumptions about the treatment of observational information can be represented through alternative dynamic programming model structures, and provides a means of valuing alternative treatments of information and augmenting traditional benefit-cost analysis through a decomposition of the value function. The AC approach has considerable potential to help managers prioritize experiments, plan AM programs, simulate potential AM paths, and justify decisions based on an objective valuation framework.
机译:自适应自然资源管理(AM)的范式已成为一种大型环境项目管理的首选技术,在该范式中,实验用于了解自然系统的不确定性。但是,迄今为止,与经济理论相一致的工具尚未用于评估增材制造策略或改善该框架中的决策。自适应控制(AC)技术提供了这样的机会。本文演示了交流方法,规划视野内对已实现信息的替代处理和增材制造实践之间的概念联系,展示了如何通过替代动态规划模型结构来表示有关观测信息处理的不同假设,并提供了一种手段评估信息的替代处理方法,并通过价值函数的分解来增强传统的收益成本分析。 AC方法具有巨大的潜力,可帮助管理人员确定实验的优先级,计划增材制造计划,模拟潜在的增材制造路径以及根据客观评估框架证明决策合理性。

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