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Artículos de revistas sobre el tema "Human intuition"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

Borden, Andrew. "Human Intuition and Decision-making Systems." Information & Security: An International Journal 1, no. 2 (1998): 67–72. http://dx.doi.org/10.11610/isij.0117.

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2

McLarty, Colin. "Poincaré on the value of reasoning machines." Bulletin of the American Mathematical Society 61, no. 3 (2024): 411–22. http://dx.doi.org/10.1090/bull/1822.

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Hilbert’s Foundations of Geometry in 1899 made Poincaré think of “reasoning machines” before Hilbert did. Poincaré found the idea “deadly for teaching, and desiccating for researchers” but indispensable for telling when intuitions have been fully expressed. A machine will use stated axioms without the vague intuitions Poincaré considered vital to learning and research. Years of famously intuitive creativity, plus boundless faith in technology, as well as the impact of Hilbert, led Poincaré to see that machines could aid human intuition but not replace it, precisely because machines have no int

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3

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2023): 23–39. https://doi.org/10.5281/zenodo.7939597.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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4

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.14810/mechatroj.2017.4106.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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5

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2020): 23–39. https://doi.org/10.5281/zenodo.3949445.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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6

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.4218203.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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7

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.4556418.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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8

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.5173353.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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9

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.6640620.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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10

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.7321668.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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11

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ), 1, no. 1 (2019): 23–39. https://doi.org/10.5281/zenodo.3352567.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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12

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.3445797.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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13

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.3586278.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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14

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.3708990.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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15

Octavio, Diaz-Hernandez, and J. Gonzalez-Villela Victor. "ANALYSIS OF HUMAN INTUITION TOWARDS ARTIFICIAL INTUITION SYNTHESIS FOR ROBOTICS." Mechatronics and Applications: An International Journal (MECHATROJ) 1, no. 1 (2017): 23–39. https://doi.org/10.5281/zenodo.5806871.

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Human intuition is an unconscious mental process aimed to solve problems without using a rational decision-making process. Meanwhile, the artificial intuition is a limited representation of human intuition, and it models intuitive ability of solving problems in order to be implemented in machines. In this work, we performed an analysis about analogies between human and artificial intuition using INPUTS, PROCESSING, and OUTPUTS. Mainly, we have focused on synthetize algorithms that improve robot performance in pick and place tasks, simplifying the processing stage (decision-making process), by

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16

Pasupuleti, Murali Krishna. "Computational Intuition: Machine Learning Models That Mimic Human Gut Feelings." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 05 (2025): 382–93. https://doi.org/10.62311/nesx/rp05ai5.

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Abstract: Computational intuition explores the frontier of machine learning by simulating human-like gut feelings and rapid decision-making under uncertainty. This paper investigates models that mimic intuitive responses by integrating neural heuristics, affective inference, and subconscious pattern detection. Drawing from psychology, neuroscience, and AI, we construct hybrid systems that replicate the heuristic reasoning humans deploy in real-time decision-making. Researcher evaluated multiple architectures using datasets from emotion-labeled decisions (IntuitionNet, Human Affect Forecast) an

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17

Kronman, Linda. "Intuition Machines." A Peer-Reviewed Journal About 9, no. 1 (2020): 54–68. http://dx.doi.org/10.7146/aprja.v9i1.121489.

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   The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘vision machines’ in the hope of optimized and objective insights. I argue that we should approach these replacements of human nonconscious functions as ‘intuition machines.’ I apply this approach through a close reading of artworks which expose the hid- den labour required to train a ma

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18

Johanssen, Jacob, and Xin Wang. "Artificial Intuition in Tech Journalism on AI: Imagining the Human Subject." Human-Machine Communication 2 (January 15, 2021): 173–90. http://dx.doi.org/10.30658/hmc.2.9.

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Artificial intuition (AI acting intuitively) is one trend in artificial intelligence. This article analyzes how it is discussed by technology journalism on the internet. The journalistic narratives that were analyzed claim that intuition can make AI more efficient, autonomous, and human. Some commentators also write that intuitive AI could execute tasks better than humans themselves ever could (e.g., in digital games); therefore, it could ultimately surpass human intuition. Such views do not pay enough attention to biases as well as transparency and explainability of AI. We contrast the journa

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19

Lebedev, I. B., and A. M. Sultanova. "PSYCHOLOGICAL PECULIARITIES OF POLICE OFFICERS INTUITION STUDY." Current Issues of the State and Law, no. 7 (2018): 125–32. http://dx.doi.org/10.20310/2587-9340-2018-2-7-125-132.

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We consider main aspects of intuition as a psychological phenomenon and its peculiarities in legal defending activity. The difficulty of the topic is noted according to intuition irrational nature. We study the historical aspect of intuitive human mind development from the earliest to the modern time and find differences in the information part of the world understanding. The reasons for formation of intuitive thinking of Internal Affairs Agencies workers in untypical situations are explained. The research has the scheme of conditions for intuition provocation, among which there are the proble

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20

Miles, Andrew, and Eugene Sadler-Smith. "“With recruitment I always feel I need to listen to my gut”: the role of intuition in employee selection." Personnel Review 43, no. 4 (2014): 606–27. http://dx.doi.org/10.1108/pr-04-2013-0065.

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Purpose – This qualitative study of managers’ use of intuition in the selection process aimed to understand if and how managers use intuition in employee hiring decisions and suggest ways in which the use of intuition might be improved. The paper aims to discuss these issues. Design/methodology/approach – Semi-structured, in-depth interviews were conducted with managers from a range of backgrounds, and with varying experience of recruitment and selection. Findings – Findings revealed that reasons for the use of intuition included personal preferences, resource constraints and recognition of th

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21

Van den Brink, Nydia, Birgit Holbrechts, Paul L. P. Brand, Erik C. F. Stolper, and Paul Van Royen. "Role of intuitive knowledge in the diagnostic reasoning of hospital specialists: a focus group study." BMJ Open 9, no. 1 (2019): e022724. http://dx.doi.org/10.1136/bmjopen-2018-022724.

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Background and objectiveIntuition is an important part of human decision-making and can be explained by the dual-process theory where analytical and non-analytical reasoning processes continually interact. These processes can also be identified in physicians’ diagnostic reasoning. The valuable role of intuition, including gut feelings, has been shown among general practitioners and nurses, but less is known about its role among hospital specialists. This study focused on the diagnostic reasoning of hospital specialists, how they value, experience and use intuition.Design and participantsTwenty

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22

Sinclair, Marta, Neal M. Ashkanasy, and Prithviraj Chattopadhyay. "Affective antecedents of intuitive decision making." Journal of Management & Organization 16, no. 3 (2010): 382–98. http://dx.doi.org/10.1017/s1833367200002030.

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AbstractAlthough the use of intuition in managerial decisions has been documented, many questions about the intuitive process and its antecedent stages remain unanswered, in particular the role of affective traits and states. The study reported in this article investigates whether decision makers who are more attuned to own emotions and experience a particular mood have an easier access to intuition. Our findings indicate that emotional awareness has indeed a positive effect on the use of intuition, which appears to be stronger for women. Surprisingly, positive and negative mood seem to influe

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23

Sinclair, Marta, Neal M. Ashkanasy, and Prithviraj Chattopadhyay. "Affective antecedents of intuitive decision making." Journal of Management & Organization 16, no. 3 (2010): 382–98. http://dx.doi.org/10.5172/jmo.16.3.382.

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AbstractAlthough the use of intuition in managerial decisions has been documented, many questions about the intuitive process and its antecedent stages remain unanswered, in particular the role of affective traits and states. The study reported in this article investigates whether decision makers who are more attuned to own emotions and experience a particular mood have an easier access to intuition. Our findings indicate that emotional awareness has indeed a positive effect on the use of intuition, which appears to be stronger for women. Surprisingly, positive and negative mood seem to influe

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24

Lombardo, Claudio. "Communicative Intuition in HRI: Intuitive Understanding, Cognitive Evolution, and Mental Models in Socially Assistive Robots (SAR)." Innovative Journal of Applied Science 01, no. 01 (2024): 01–03. https://doi.org/10.70844/ijas.2024.1.11.

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This study explores the use of artificially simulated intuition and mental models in Socially Assistive Robots (SAR) to enhance Human Robot Interaction (HRI). A multidisciplinary approach is proposed, integrating neuroscience, cognitive evolution, and empathy studies to address the limitations of the traditional Theory of Mind (ToM) as applied to SAR. The goal is to develop advanced social robotics models capable of intuitively interpreting and responding to human signals, leveraging principles of cybernetics and complex systems. This approach supports the hypothesis that SAR with multisensory

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25

Antle, Alissa N., Greg Corness, and Milena Droumeva. "Human-computer-intuition? Exploring the cognitive basis for intuition in embodied interaction." International Journal of Arts and Technology 2, no. 3 (2009): 235. http://dx.doi.org/10.1504/ijart.2009.028927.

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26

Campbell, Robert. "Intuition and logic in human evolution." Communicative & Integrative Biology 5, no. 5 (2012): 422–33. http://dx.doi.org/10.4161/cib.20953.

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27

Hunter, Philip. "Human intuition in the quantitative age." EMBO reports 12, no. 5 (2011): 401–4. http://dx.doi.org/10.1038/embor.2011.57.

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28

Oaksford, Mike. "Quantum probability, intuition, and human rationality." Behavioral and Brain Sciences 36, no. 3 (2013): 303. http://dx.doi.org/10.1017/s0140525x12003081.

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AbstractThis comment suggests that Pothos & Busmeyer (P&B) do not provide an intuitive rational foundation for quantum probability (QP) theory to parallel standard logic and classical probability (CP) theory. In particular, the intuitive foundation for standard logic, which underpins CP, is the elimination of contradictions – that is, believing p and not-p is bad. Quantum logic, which underpins QP, explicitly denies non-contradiction, which seems deeply counterintuitive for the macroscopic world about which people must reason. I propose a possible resolution in situation theory.

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29

STRAUS, D. "Intuition?A human tool for generalizing." Journal of Social and Biological Systems 14, no. 3 (1991): 333–52. http://dx.doi.org/10.1016/0140-1750(91)90005-b.

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30

Nivón, Lucas G., Sinisa Bjelic, Chris King, and David Baker. "Automating human intuition for protein design." Proteins: Structure, Function, and Bioinformatics 82, no. 5 (2013): 858–66. http://dx.doi.org/10.1002/prot.24463.

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31

Mudyń, Krzysztof. "Miejsce intuicji w zdigitalizowanym świecie." Sztuka Leczenia 39, no. 1 (2024): 27–38. http://dx.doi.org/10.4467/18982026szl.24.002.19765.

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Intuition is understood in the article as the intelligence of the unconscious, taking into account all the information possessed by the subject as well as individual abilities and preferences. Intuition makes itself felt in various ways. It cooperates with consciousness when more important decisions are to be made or directly controls the behavior of an individual (in case of so-called operational intelligence). The author reflects on the role of intuition in the digitalized world and comes to the conclusion that digital technology partially replaces intuition’s function but at the same time l

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32

Mudyń, Krzysztof. "The place of intuition in the digitalized world." Sztuka Leczenia 39, no. 1 (2024): 39–49. http://dx.doi.org/10.4467/18982026szl.24.008.19833.

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Intuition is understood in the article as the intelligence of the unconscious, taking into account all the information possessed by the subject as well as individual abilities and preferences. Intuition makes itself felt in various ways. It cooperates with consciousness when more important decisions are to be made or directly controls the behavior of an individual (in case of so-called operational intelligence). The author reflects on the role of intuition in the digitalized world and comes to the conclusion that digital technology partially replaces intuition’s function but at the same time l

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33

Calabretta, Giulia, Gerda Gemser, and Nachoem M. Wijnberg. "The Interplay between Intuition and Rationality in Strategic Decision Making: A Paradox Perspective." Organization Studies 38, no. 3-4 (2016): 365–401. http://dx.doi.org/10.1177/0170840616655483.

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Both intuition and rationality can play important roles in strategic decision making. However, a framework that specifically accounts for the interplay between intuition and rationality is still missing. This study addresses this gap by using a paradox lens and conceptualizes the intuition–rationality duality as a paradoxical tension. We draw on seven case studies of innovation projects to empirically derive a three-step process for managing this intuition–rationality tension through paradoxical thinking. Our empirical data suggest that management of the tension starts with preparing the groun

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34

Tsvetkova, Anna Denisovna. "Investigator's Intuition: Conditions of Formation and the Possibility of Implementation of Artificial Intelligence." Полицейская и следственная деятельность, no. 3 (March 2022): 22–30. http://dx.doi.org/10.25136/2409-7810.2022.3.38740.

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The paper examines the issues of intuition in investigative practice. Relying on the positions of prominent forensic scientists, the importance of this heuristic mechanism for overcoming deadlocks caused not only by a shortage of information, but also by its overabundance is substantiated. The author suggests mechanisms for the development of intuition, the main of which is called the expansion of erudition, the accumulation of a large number of background knowledge. The second part of the article discusses the problems of artificial intelligence. Firstly, the topic of its potential to replace

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35

Chen, Valerie, Q. Vera Liao, Jennifer Wortman Vaughan, and Gagan Bansal. "Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (2023): 1–32. http://dx.doi.org/10.1145/3610219.

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AI explanations are often mentioned as a way to improve human-AI decision-making, but empirical studies have not found consistent evidence of explanations' effectiveness and, on the contrary, suggest that they can increase overreliance when the AI system is wrong. While many factors may affect reliance on AI support, one important factor is how decision-makers reconcile their own intuition---beliefs or heuristics, based on prior knowledge, experience, or pattern recognition, used to make judgments---with the information provided by the AI system to determine when to override AI predictions. We

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36

Braaten, Oivind, and Johannes Friestad. "Syndrome Diagnosis: Human Intuition or Machine Intelligence?" Open Medical Informatics Journal 2, no. 1 (2008): 149–59. http://dx.doi.org/10.2174/1874431100802010149.

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37

Goddard, Murray J. "The Impact of Human Intuition in Psychology." Review of General Psychology 13, no. 2 (2009): 167–74. http://dx.doi.org/10.1037/a0015104.

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38

Elliott, Linda, and Andrew Borden. "Human Intuition and Decision-making Systems (II)." Information & Security: An International Journal 2 (1999): 50–54. http://dx.doi.org/10.11610/isij.0204.

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39

Jastrzębski, Andrzej Krzysztof. "On Some Anthropological Foundations of Spirituality." Verbum Vitae 37, no. 2 (2020): 381–90. http://dx.doi.org/10.31743/vv.8636.

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Taking into account today’s progression towards a more complete notion of spirituality, the development of its universal, anthropological foundations are of vital importance. These roots can be found in the classical metaphysical understanding of the human mind. From a practical point of view, spirituality expresses itself in the ways in which people think and behave. To better understand the anthropological underpinnings of spirituality, we first examine two distinct ways of discovering reality: intuition of being and intuition of good. Looking at these intuitions will then give us a better u

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40

Elbanna, Said, and Yasir Fadol. "The role of context in intuitive decision-making." Journal of Management & Organization 22, no. 5 (2016): 642–61. http://dx.doi.org/10.1017/jmo.2015.63.

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AbstractFew writers have examined the contextual determinants of intuitive decision-making and none has examined the differential contribution to explaining intuition made by different perspectives on context. This study seeks to supply what is absent by examining the overall impact of combinations of variables representing three different perspectives (decision, environment and firm) on the use of intuition when making strategic decisions. The results indicate that the characteristics specific to the firm and to the environment appear to be more significant to intuition than does the nature o

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41

Skopec, Robert. "Global Workspace, Self, and Mathematical Intuition." Neuroscience and Neurological Surgery 2, no. 4 (2018): 01–05. http://dx.doi.org/10.31579/2578-8868/201.

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In human consciousness a world of separated objects is perceived by an inner observer as an feeling of One-self. A topological correlation of the Self to the world, by either emerging all separated objects into one or splitting the Self in as many disconnected Sub-selves as there are objects perceived. The Self is generated in a neural network by algorithmic compression of spatial and temporal information into a toponeuronal structure (TNS). A correlation of an inner observer to parts of a structure inevitably entails a correlation to the whole, serving of the Self. Molecular mechanisms for th

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42

Carolyn Pedwell. "Algorithms, Intuition and Networked Activism." Thinker 82, no. 4 (2019): 22–31. http://dx.doi.org/10.36615/thethinker.v82i4.359.

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In the midst of the Fourth Industrial Revolution, digital, smart and algorithmic technologies, it is claimed, may be fundamentally transforming ‘the human’. They may, that is, be radically re-mediating human senses, habits and capacities. In Thumbelina (2015), for example, the late French philosopher and media theorist Michel Serres argues that millennials are not only the first generation to experience the internet and related forms of digital media in their adolescence, they have also been comprehensively ‘[re]-formatted by the media’, and, thus, ‘no longer have the same body or behavior’ as

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43

Al Sheikh, Hanan Muneer. "The artistic intuition and its impact in developing the leadership potentials of the academic women in the specializations of art and design." Global Journal of Arts Education 11, no. 1 (2021): 13–23. http://dx.doi.org/10.18844/gjae.v11i1.5459.

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The artwork towards which academic women are going in the specializations of art and design is considered as a comprehensive philosophical intellectual system; as the academic woman while understanding art is unifying psychological elements with the philosophical, intuitive, and spiritual elements. This research tackles the analysis of the concept of artistic intuition as a compositional activity that reflects to all practical life fields but under specific humanitarian conditions that distinguish leading women particularly in the specializations of art and design. Such analysis leads to being

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44

Allinson, Christopher W., Elizabeth Chell, and John Hayes. "Intuition and entrepreneurial behaviour." European Journal of Work and Organizational Psychology 9, no. 1 (2000): 31–43. http://dx.doi.org/10.1080/135943200398049.

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45

Maltsev, Oleg. "ABOUT INTUITION MECHANISMS IN THE CONTEXT OF HUMAN ACTIVITY." Educational Discourse: collection of scientific papers, no. 22(4) (May 14, 2020): 79–98. http://dx.doi.org/10.33930/ed.2019.5007.22(4)-7.

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The human activity is the object of the conducted research, the mechanisms of intuition is its subject. Therefore, the purpose of this article is statements of a philosophical comprehension of intuition mechanisms functioning in human activity. The main ideas of the author experienced the corresponding approbation in scientific and field researches of 2015-2020. They are systemically stated and presented in this article for the first time, as well. The innovation of the following article consists of the conducted research issues that reflect the systematization of knowledge of the mechanisms o

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46

Sadler-Smith, Eugene, and YingFei Gao Héliot. "Searching for Spiritual Intuition in Management." Journal of Management, Spirituality & Religion 18, no. 4 (2021): 332–54. http://dx.doi.org/10.51327/xiui8000.

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This research is a search for spiritual intuition in the management literature. Spiritual intuition research is slight compared with research into other types of intuition (creative, expert, moral and social). This article: (a) searched and reviewed research on spiritual intuition in management; (b) identified Frances Vaughan as one of the primary exponents of the concept; (c) traced backwards from Vaughan into transpersonal psychology and Jung; (d) found evidence for spiritual intuition in the work of Willian James and Abraham Maslow; (e) identified links between spiritual intuition and other

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Zander-Schellenberg, Thea, Sarah A. K. Kuhn, Julian Möller, et al. "Is intuition allied with jumping to conclusions in decision-making? An intensive longitudinal study in patients with delusions and in non-clinical individuals." PLOS ONE 16, no. 12 (2021): e0261296. http://dx.doi.org/10.1371/journal.pone.0261296.

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Research suggests that a jumping-to-conclusions (JTC) bias, excessive intuition, and reduced analysis in information processing may favor suboptimal decision-making, both in non-clinical and mentally disordered individuals. The temporal relationship between processing modes and JTC bias, however, remains unexplored. Therefore, using an experience sampling methodology (ESM) approach, this study examines the temporal associations between intuitive/analytical information processing, JTC bias, and delusions in non-clinical individuals and patients with schizophrenia. Specifically, we examine wheth

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48

Matzler, Kurt, Borislav Uzelac, and Florian Bauer. "Intuition: the missing ingredient for good managerial decision-making." Journal of Business Strategy 35, no. 6 (2014): 31–40. http://dx.doi.org/10.1108/jbs-12-2012-0077.

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Purpose – This paper aims to clarify the role of intuition in managerial decision making by identifying when intuitive decision making is typically applied, of what value it is for organizations and what inhibits its application. Design/methodology/approach – The authors combine insights from cognitive and social psychology with empirical evidence from a survey study with Austrian organizations. Findings – In conjunction with deliberation, intuitive decision making contributes positively to organizational performance. Its application is moderated by a person’s hierarchical position, organizati

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Davies, Alex, Petar Veličković, Lars Buesing, et al. "Advancing mathematics by guiding human intuition with AI." Nature 600, no. 7887 (2021): 70–74. http://dx.doi.org/10.1038/s41586-021-04086-x.

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AbstractThe practice of mathematics involves discovering patterns and using these to formulate and prove conjectures, resulting in theorems. Since the 1960s, mathematicians have used computers to assist in the discovery of patterns and formulation of conjectures1, most famously in the Birch and Swinnerton-Dyer conjecture2, a Millennium Prize Problem3. Here we provide examples of new fundamental results in pure mathematics that have been discovered with the assistance of machine learning—demonstrating a method by which machine learning can aid mathematicians in discovering new conjectures and t

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Ambinder, Michael S., Ranxiao Frances Wang, James A. Crowell, George K. Francis, and Peter Brinkmann. "Human four-dimensional spatial intuition in virtual reality." Psychonomic Bulletin & Review 16, no. 5 (2009): 818–23. http://dx.doi.org/10.3758/pbr.16.5.818.

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