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A survey of agent-based intelligent decision support systems to support clinical management and research
Foster, Darren; McGregor, Carolyn; El-Masri, Samir - University of Western Sydney; University of Western Sydney; … - 2005
The research into agent-based intelligent decision support systems is important to the medical industry because these systems can be used to improve the quality of healthcare in many ways. The areas these systems can be used in are diverse from the storage of medical records to the examination...
Persistent link: https://www.econbiz.de/10009482109
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Similarity and consistency in algorithm-guided exploration
Bao, Yongping; Danwitz, Ludwig; Dvorak, Fabian; … - 2022
Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...
Persistent link: https://www.econbiz.de/10013482224
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Calibration of quantum decision theory, aversion to large losses and predictability of probabilistic choices
Vincent, Sabine; Jukalov, Vjačeslav I.; Kovalenko, Tatyana - 2016
We present the first calibration of quantum decision theory (QDT) to an empirical data set. The data comprise 91 …. The prediction of choice reversal is then refined by introducing heterogeneity between decision makers through a …
Persistent link: https://www.econbiz.de/10011516615
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Exploring the impact of artificial intelligence : prediction versus judgment
Agrawal, Ajay; Gans, Joshua; Goldfarb, Avi - 2018
providing a particular set of tasks – prediction tasks. Prediction about uncertain states of the world is an input into decision …-making. We show that prediction allows riskier decisions to be taken and this is its impact on observed productivity although it … prediction technology improves. Judgment is exercised when the objective function for a particular set of decisions cannot be …
Persistent link: https://www.econbiz.de/10012052459
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Categorization and coordination
Daskalova, Vessela; Vriend, Nicolaas J. - 2014
The use of coarse categories is prevalent in various situations and has been linked to biased economic outcomes, ranging from discrimination against minorities to empirical anomalies in financial markets. In this paper we study economic rationales for categorizing coarsely. We think of the way...
Persistent link: https://www.econbiz.de/10010353550
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Error and generalization in discrete choice under risk
Wilcox, Nathaniel T. - 2015
Persistent link: https://www.econbiz.de/10011406788
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Developing a knowledge-based multi-objective decision support systems
Lu, J.; Quaddus, Mohammed; Williams, Robert - 2000
Decision Support Systems under Multiple Objectives (MODSS) has been classified as a specific type of system within the broad family of DSS and has been one of the most active areas of research. However, despite its theoretical development large scale real-world applications of multi-objective...
Persistent link: https://www.econbiz.de/10009434940
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Assessment of climate change impacts and adaptation : a methodological review and application to Indian agriculture
Pattanayak, Anubhab; Kumar, K. S. Kavi - 2019
Persistent link: https://www.econbiz.de/10012149614
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Analytical SCUC/SCED optimization formulation for AMES V5.0
Tesfatsion, Leigh; Battula, Swathi - 2020 - Revision: July 2, 2020
Persistent link: https://www.econbiz.de/10012243396
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Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models
Teymurzade, Sahil; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014448266