Titlebook: Optimized Bayesian Dynamic Advising; Theory and Algorithm Miroslav Karny Book 2006 Springer-Verlag London 2006 Approximation.Support of ope

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Miroslav KarnyProvides a generic methodology with elaborated algorithmic image of probabilistic, possibly adaptive, optimised advisory system supporting dynamic decision making under uncertainty in a complex enviro

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https://doi.org/10.1007/1-84628-254-3Approximation; Support of operators of complex processes; algorithms; biological sciences; biomedical en

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1610-3947 ynamic decision making under uncertainty in a complex enviroThis work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising. It developed from a series of targeted research projects s- ported both by the European Commission and Czech grant bodies. The source text has s

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mismatch, because path-dependency from the past then determines how we respond to new contexts. For current problems that we have allowed to be created in the past, we often choose an approach that is derived from the methods that caused the problem in the first place. For new problems and uncertain

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the city to urban development and constructionUrban planning practice will undergo significant changes in the upcoming decades, due to major changes and challenges the world has to deal with, such as loss of biodiversity loss, climate change impacts, agricultural transformation, water management is