Current theories argue that human decision making is largely based on quick, automatic, and intuitive processes that are occasionally supplemented by slow controlled deliberation. Researchers, therefore, predominantly studied the heuristics of the automatic system in everyday decision making. Our study examines the role of slow deliberation for experts who exhibit superior decision-making outcomes in tactical chess problems with clear best moves. Our study uses advanced computer software to measure the objective value of actions preferred at the start versus the conclusion of decision making. It finds that both experts and less skilled individuals benefit significantly from extra deliberation regardless of whether the problem is easy or difficult. Our findings have important implications for the role of training for increasing decision making accuracy in many domains of expertise.
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http://dx.doi.org/10.1016/j.cognition.2012.03.005 | DOI Listing |
Sci Rep
December 2024
Division of Computational & Data Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Context shapes how we perceive choices and, therefore, how we decide between them. For instance, a large body of literature on the "framing effect" demonstrates that people become more risk-seeking when choices are framed in terms of losses. Despite this research, it remains unknown how people make choices between contexts and how these choices affect subsequent decision making.
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December 2024
Department of Architecture, Rafsanjan Branch, Islamic Azad University, Rafsanjan, Iran.
The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resources efficiently, and enhance the overall well-being of residents. However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced.
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December 2024
Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).
View Article and Find Full Text PDFlaparoscopy has emerged as a pivotal tool for the management of acute abdominal pathologies. It provides diagnostic and therapeutic advantages, enabling surgeons to evaluate and address diverse acute abdominal conditions using minimally invasive techniques. The aim of this consensus was to obtain evidence-based guidance for surgeons regarding the utilization of laparoscopy in emergency medical settings, and has been divided into trauma and non-trauma emergencies.
View Article and Find Full Text PDFTher Apher Dial
December 2024
Department of Nephrology, Ankara Bilkent City Hospital, Ankara, Turkey.
Introduction: End-stage kidney disease patients face a critical decision regarding kidney replacement therapy options, which include kidney transplantation, hemodialysis, or peritoneal dialysis (PD). This study aims to evaluate the impact of nurse-led education (NE) alone vs. NE combined with peer support on the patients' decision over PD treatment in chronic kidney disease patients.
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