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Although economic processes and systems are in general simple in nature, the underlying dynamics are complicated and seldom understood. Recognizing this, in this paper we use a nonstationary-conditional Markov process model of observed aggregate data to learn about and recover causal influence...
Persistent link: https://www.econbiz.de/10011211017
Рассматриваются предпосылки, состояние и перспективы развития концепции многоальтернативности в задачах автоматического управления динамическими системами....
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Economies are evolving, complex, adaptive dynamic systems. Yet, economics is committed to a methodology that is quite different from that of other fields, such as ecology or brain research or computer science, in which such systems are studied. Computable economics attempts to reorient economics...
Persistent link: https://www.econbiz.de/10005260480
The purpose of this paper is to extend the use of integrated assessment models by defining rational policies based on predictive control and adaptive behavior. The paper begins with an review of the main IAMs and their use. Then the concept of Model Predictive Nash Equilibrium (MPNE) is...
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Описывается поисковый робот (краулер), предназначенный для сбора информации об исходящих гиперссылках с задаваемого множества сайтов, относящихся к одной...
Persistent link: https://www.econbiz.de/10011226992
Scientific evidence suggests that economic activity is threatening global biodiversity in ways that could severely degrade nature's flow of ecosystem services. Yet, there is relatively little work in economics that addresses biodiversity loss. Some economists have called for better integration...
Persistent link: https://www.econbiz.de/10010614170
Numerous shopper typologies are available in management literature but none classifies consumers based on shopping adaptations in an economic crisis. The current study addresses this research gap by segmenting shoppers based upon changes in key shopping-related attitudes and behaviors. Triadic...
Persistent link: https://www.econbiz.de/10010869633