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Heuristic decision making. [PDF]
Annual Review of Psychology, 2011 As reflected in the amount of controversy, few areas in psychology have undergone such dramatic conceptual changes in the past decade as the emerging science of heuristics. Heuristics are efficient cognitive processes, conscious or unconscious, that ignore part of the information.
G. Gigerenzer, W. Gaissmaier
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Multi-Criteria Decision Making (MCDM) Methods and Concepts
Encyclopedia, 2023 Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process.
Hamed Taherdoost, Mitra Madanchian
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Decision Making Advances, 2023 This research paper presents a comprehensive review of Multiple Criteria Decision-Making (MCDM) methods, encompassing their advancements, applications, and future directions.
S. K. Sahoo, S. Goswami
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Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice
Scientific Reports, 2022 In this study, we provide causal evidence that the dorsolateral prefrontal cortex (DLPFC) supports the computation of subjective value in choices under risk via its involvement in probability weighting.
Ksenia Panidi +3 more
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Life, 2023 Transspinal direct current stimulation (tsDCS) is a non-invasive technique used to modulate spinal cord activity. However, the effects and mechanisms of this stimulation are currently not comprehensively known.
Alena Popyvanova +5 more
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, 2021 In this chapter, the way people consider possibilities in decision making are unpacked and explored. It begins by outlining the concept of rational choice – what a decision maker ought to choose. Specifically, it discusses how, for a given decision, a rational choice can (or cannot) be determined.
Michal Bialek +2 more
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MEG signatures of long-term effects of agreement and disagreement with the majority
Scientific Reports, 2021 People often change their beliefs by succumbing to an opinion of others. Such changes are often referred to as effects of social influence. While some previous studies have focused on the reinforcement learning mechanisms of social influence or on its ...
A. Gorin +5 more
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Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making [PDF]
FAT*, 2020 Today, AI is being increasingly used to help human experts make decisions in high-stakes scenarios. In these scenarios, full automation is often undesirable, not only due to the significance of the outcome, but also because human experts can draw on ...
Yunfeng Zhang +2 more
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Technological forecasting & social change, 2021 Big data analytics (BDA) is a revolutionary approach for sound decision-making in organizations that can lead to remarkable changes in transforming and supporting the circular economy (CE).
Usama Awan +5 more
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International Journal of Computational Intelligence Systems, 2022 With the rapid development of information technology and social network, the large-scale group decision-making (LSGDM) has become more and more popular due to the fact that large numbers of stakeholders are involved in different decision problems.
Kai Xiong, Yucheng Dong, Sihai Zhao
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