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- W2752380147 abstract "In this article we present a system that uses open government data (OGD) for forecasting long-term development of macroeconomic systems and show how it can be used for theoretical and applied researches. Also a distributed information-computational environment (DICE) for OGD extraction and cleansing is introduced. We suggest a model of experimental economy, which is a result of interdisciplinary research. The model combines concepts of simulation modeling, artificial intelligence, cognitive psychology, economics and sociology. The macroeconomic system is represented as set of micro-level processes and macro-level influences. Economic processes are studied in close connection with demographics. We also include organizations in the model and take state control into consideration. Economic agents make decisions on the principles of bounded rationality. The model of experimental economy can be used both for theoretical research and for practical calculations. An example of theoretical study of the model is analysis of economic cycles at the micro-level. Practical use of the model is evaluating efficiency of the state influences, such as credit policy and industrial development programs." @default.
- W2752380147 created "2017-09-15" @default.
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- W2752380147 date "2017-09-04" @default.
- W2752380147 modified "2023-09-23" @default.
- W2752380147 title "Developing a complex model of experimental economy based on agent approach and open government data in distributed information-computational environment" @default.
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- W2752380147 doi "https://doi.org/10.1145/3129757.3129763" @default.
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