Lessons from Applications of Structured Modeling to Solving Complex Policy-Making Problems

Marek Makowski

doi:10.11499/sicep.2004.0_68_4

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_68_4

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Lessons from Applications of Structured Modeling to Solving Complex Policy-Making Problems

*Marek Makowski

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Keywords: structured modeling, decision support systems, large scale optimization

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 68

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Abstract

Making rational policy decisions for complex problems typically requires model-based support for comprehensive analyses of relations between decisions and various measures of consequences resulting their implementations. The paper summarizes the lessons from applications of advanced modeling techniques to complex environmental problems, and outlines the Structured Modeling Technology, which has been developed for model-based decision-making support for such problems.

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