Article
Computer Science, Artificial Intelligence
Jinyu Zhang, Yunlong Chen, Chenhui Xia
Summary: This study focuses on the decision-making behavior of agents in information diffusion and its influence from local network structures. By utilizing the cause-effect graph method to model the interaction structures of agents in social networks, the researchers propose decision-making models for agents. These models can comprehensively consider factors such as social positions, interaction strengths, and diffusion strategies of agents, helping to better understand the mechanisms that influence diffusion in real social networks.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Software Engineering
Benjamin Shreeve, Joseph Hallett, Matthew Edwards, Kopo M. Ramokapane, Richard Atkins, Awais Rashid
Summary: This paper examines the impact of different stakeholders and team compositions on the quality of cyber security decision-making. The study finds that no group of experts outperforms others in game decisions and that biases hinder their understanding of what they are defending and how defenses work.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2022)
Article
Neurosciences
Yonglin Lin, Ruolei Gu, Jiali Zhou, Yiman Li, Pengfei Xu, Yue-jia Luo
Summary: The study found that social information can impact decision-making, with Social Misalignment Sensitivity and egocentric tendency playing important roles in this process. Different brain regions were activated in socially aligned and misaligned situations, indicating variations in the monitoring system's scope. The dorsolateral prefrontal cortex may selectively interact with SMS in individuals with a low switching threshold, suggesting sensitivity to inter-individual variation.
Article
Management
Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian
Summary: The study shows that computations performed by Bayesian agents in opinion exchange over a network are NP-hard, particularly for binary actions and revealing posterior beliefs. Additionally, even approximating Bayesian posterior beliefs is challenging.
OPERATIONS RESEARCH
(2021)
Article
Computer Science, Information Systems
Xia Chen, Haiming Liang, Yangjingjing Zhang, Yuzhu Wu
Summary: Opinion evolution is a common phenomenon in social network group decision-making. This study proposes value-based opinion evolution and discusses consensus manipulation in SNGDM. It establishes an optimisation-based consensus manipulation model and provides important insights on considering network values and external manipulation. Evaluation: 6 points.
INFORMATION SCIENCES
(2023)
Article
Biology
Julien Collet, Joe Morford, Patrick Lewin, Anne-Sophie Bonnet-Lebrun, Takao Sasaki, Dora Biro
Summary: Learning is a widespread phenomenon in animals as individuals can adapt their behavior based on experience. Groups can also improve their collective performance through collective learning. This study proposes a framework to classify the complex relationship between individual learning and collective performance.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Behavioral Sciences
Leah Gray, Mike M. Webster
Summary: Prey species gain benefits from group formations, but blind copying of behavior can lead to the spread of poor information. To impede this, animals have developed information-dampening mechanisms, such as consensus decision making. In the case of Eurasian oystercatchers, the decision of leaving the roosting site is coordinated through local interactions and is influenced by the size of the group.
Article
Biochemical Research Methods
Alan Novaes Tump, Max Wolf, Pawel Romanczuk, Ralf H. J. M. Kurvers
Summary: This paper investigates the decision process and information flow in groups facing asymmetrical error costs, finding that individuals in large cooperative groups do not develop response biases, while selfish individuals undermine the group's performance for their own benefit.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Psychology
Qiliang He, Jancy Ling Liu, Elizabeth H. Beveridge, Lou Eschapasse, Vanesa Vargas, Thackery Brown
Summary: Valued-based decision-making in spatial navigation and the integration of episodic memories remain largely unknown. This study found that participants' starting location decisions in goal-directed tasks were better fit by integrating memory from performance with all goals in the environment, rather than reflecting past performance specific to that goal. Individual differences in performance variability with individual targets and the ability to estimate relevant probabilities were predictors of task success.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION
(2022)
Article
Computer Science, Information Systems
Marc Serramia, Maite Lopez-Sanchez, Stefano Moretti, Juan A. Rodriguez-Aguilar
Summary: Decision makers face challenges in comparing and ranking elements based on multiple criteria and personal preferences. This study introduces a new decision-making framework and presents a new method for ranking single elements. It is also proven that the contributions of this study generalize recent results in the field of social choice. The findings are illustrated through a case study on ethical decision-making.
INFORMATION SCIENCES
(2023)
Article
Engineering, Chemical
Tiantian Zhu, Stein Haugen, Yiliu Liu
Summary: In order to prevent major accidents in process industries, it is crucial to provide decision-makers with accurate risk information to aid in risk-related decisions. A framework is proposed to organize and provide risk information so that decision-makers can more effectively detect, assess, and address risk issues.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2021)
Article
Management
Vincenz Frey, Arnout van de Rijt
Summary: Teams, juries, electorates, and committees often need to choose the best option from various alternatives, and the wisdom of the crowd suggests that group decisions based on plurality voting can be surprisingly wise. Recent experimental studies show that the wisdom of the crowd can be further enhanced if individuals can revise their votes based on the independent votes of others. However, this positive effect of social information can turn negative if group members vote sequentially based on previous choices instead of contributing independent votes first.
MANAGEMENT SCIENCE
(2021)
Article
Engineering, Environmental
Jiahui Yang, Ruyin Long, Hong Chen
Summary: The reveal of the evolutionary trend in express packaging waste recycling behavior is crucial for waste management. Current models based on expected utility theory fail to consider the susceptibility of groups to internal and external factors. To address this issue, this study constructs an evolutionary game model that incorporates information policy and reference dependence factors to explore the decision-making of groups with varying initial adoption rates. Simulation experiments based on survey data demonstrate the impacts of key factors on the evolution path of recycling behavior.
Review
Multidisciplinary Sciences
Andrei Khrennikov
Summary: This article discusses a new framework of social laser theory and introduces the concept of infon-social energy quantum and the decision-making model based on open quantum systems. The role of the social laser in decision-making is analyzed, and the possibility of creating a societal benefit laser is illustrated through an example.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Computer Science, Information Systems
Daniel Q. Chen, David S. Preston, Morgan Swink
Summary: This study explores the impact of different types of big data analytics on organizational decision-making in supply chain management. BDA use for SC optimization is directly associated with better decision-making capability, while the influence of BDA use for SC learning is mediated by organizational integration.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS
(2021)
Article
Neurosciences
Chunliang Feng, Zhiyuan Zhu, Zaixu Cui, Vadim Ushakov, Jean-Claude Dreher, Wenbo Luo, Ruolei Gu, Xia Wu, Frank Krueger
Summary: This study identified the neural signatures of trust propensity and provided potential biomarkers for predicting trust impairment in neuropsychiatric disorders.
HUMAN BRAIN MAPPING
(2021)
Review
Obstetrics & Gynecology
Y. Li, J. -C. Dreher
Summary: The menopause transition is largely due to a decline in ovarian function, resulting in decreased levels of ovarian estrogens and progesterone. Menopausal hormone therapy is used to alleviate menopause symptoms. Understanding the effects of MHT on brain structures and functions can help optimize brain health during the menopause transition.
Article
Multidisciplinary Sciences
David A. O'Connor, Remi Janet, Valentin Guigon, Anael Belle, Benjamin T. Vincent, Uli Bromberg, Jan Peters, Brice Corgnet, Jean-Claude Dreher
Summary: The study used virtual reality technology to investigate the impact of spatial proximity on impulsive behavior, finding that participants were significantly less able to stop motor actions when rewarding cues were near compared with when they were far. This suggests that proximity plays a distinctive role in driving impulsive actions for rewards.
Article
Neurosciences
R. Janet, A. Fournel, M. Fouillen, E. Derrington, B. Corgnet, M. Bensafi, J. C. Dreher
Summary: The study identified the neural circuits involved in regulating food consumption and highlighted how cognitive regulation modulates olfactomotor measures of olfaction, providing insights into how the brain controls appetite within the healthy population.
Article
Biology
Yang Hu, Chen Hu, Edmund Derrington, Brice Corgnet, Chen Qu, Jean-Claude Dreher
Summary: This study used model-based fMRI to investigate the neural substrates of bribery, revealing that areas such as the anterior insula, right temporoparietal junction, and ventromedial prefrontal cortex are involved in processing the moral costs of bribery. The dorsolateral prefrontal cortex is selectively engaged in guiding anti-corrupt behaviors.
Article
Behavioral Sciences
Erie D. Boorman, Sarah C. Sweigart, Seongmin A. Park
Summary: Cognitive maps can be seen as balancing representational complexity and online computational demand. Recent evidence suggests that hippocampal formation and orbital frontal cortex both form and use cognitive maps along the spectrum, ranging from simple elementary associations to explicit maps that leverage structural inference in 2D relational spaces. These representations can be conceptualized in terms of the degrees of behavioral flexibility they afford.
CURRENT OPINION IN BEHAVIORAL SCIENCES
(2021)
Review
Medicine, General & Internal
Jean-Claude Dreher
Summary: The study aims to illustrate the brain changes observed in pathological gamblers using neuroimaging, providing a better understanding of the brain regions and mechanisms involved in reward processing and decision making.
BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE
(2021)
Article
Neurosciences
Seongmin A. Park, Douglas S. Miller, Erie D. Boorman
Summary: The study found that the human brain uses grid-like representations to infer direct trajectories between entities in a reconstructed abstract space during discrete decisions. These results suggest that grid-like representations are used for inferring novel solutions, even in abstract and discrete problems, indicating a general mechanism supporting flexible decision-making and generalization.
NATURE NEUROSCIENCE
(2021)
Review
Behavioral Sciences
Chen Qu, Julien Benistant, Jean-Claude Dreher
Summary: Researchers have utilized model-based fMRI to study the neural mechanisms of moral decision making and found that moral dilemma can be modeled as value-based decisions. These studies help to elucidate the computational signals of moral choices and learning in the brain and how these cognitive operations are implemented.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Psychology, Multidisciplinary
Yang Hu, Remi Philippe, Valentin Guigon, Sasa Zhao, Edmund Derrington, Brice Corgnet, James J. Bonaiuto, Jean-Claude Dreher
Summary: This study investigated the role of the right dorsolateral prefrontal cortex (rDLPFC) in modulating bribe-taking decisions of power holders using transcranial direct-current stimulation (tDCS) and a novel paradigm. The results showed that disrupting rDLPFC via tDCS made participants more willing to take bribes, and this effect was not explained by changes in other measures. Model-based analyses further revealed that this neural modulation altered the concern for generating profits for oneself via taking bribes and reshaped the concern for the distribution inequity between oneself and the briber, thereby influencing subsequent decisions.
PSYCHOLOGICAL SCIENCE
(2022)
Article
Neurosciences
Remi Janet, Romain Ligneul, Annabel B. Losecaat-Vermeer, Remi Philippe, Gabriele Bellucci, Edmund Derrington, Soyoung Q. Park, Jean-Claude Dreher
Summary: Serotonin signaling modulates learning social ranks, demonstrating its influence on the computations required for this process.
NEUROPSYCHOPHARMACOLOGY
(2022)
Article
Psychology, Biological
Alexandre Foncelle, Elodie Barat, Jean-Claude Dreher, Jean-Baptiste Van der Henst
Summary: The study shows that participants are more likely to reverse ranks and reduce inequality when the hierarchy is perceived as unfair.
ADAPTIVE HUMAN BEHAVIOR AND PHYSIOLOGY
(2022)
Article
Multidisciplinary Sciences
Chengguo Miao, Xiaojun Li, Edmund Derrington, Frederic Moisan, Yansong Li, Jean-Claude Dreher
Summary: Social dominance is an important aspect of social life, and the ability to perceive others' dominance levels based on facial cues is a complex process. This study used event-related potentials to investigate the temporal dynamics of facial dominance evaluation. The results showed that participants inferred dominance levels at a late stage of face evaluation, and faces with the highest and lowest dominance levels elicited greater brain activity compared to faces with neutral dominance levels.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Jordan Crivelli-Decker, Alex Clarke, Seongmin A. A. Park, Derek J. J. Huffman, Erie D. D. Boorman, Charan Ranganath
Summary: Recent research in cognitive and systems neuroscience suggests that the hippocampus plays a crucial role in planning, imagination, and navigation by forming cognitive maps. This study investigates how contextual and goal information are integrated in the construction and execution of navigational plans through examining hippocampal activity patterns in humans during a goal-directed navigation task. Results show that hippocampal patterns represent context-specific, goal-oriented information, indicating that the hippocampus is not simply involved in representing associations or state transitions, but is shaped by context and goals.
NATURE COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Seongmin A. Park, Douglas S. Miller, Erie D. Boorman
Summary: Humans can learn the relationship structure between abstract concepts, but internal representations of cognitive maps are challenging to observe. A behavioral training protocol and analytic tools were introduced to measure the internal representation of two-dimensional social hierarchies.