Articles tagged with Decision Making
Young adults with higher genetic risk for depression show reduced brain activity in response to rewards and punishments, while sex-dependent neural responses were also observed. This study highlights potential early indicators for depression before symptoms fully manifest.
Two studies from University of Michigan researchers suggest many older adults and people with disabilities need more impartial help picking the best Medicare plan. Only about 13% of enrollees switch plans annually, and even fewer use the internet to research options.
A contemporary cohort study found a low risk of isolated locoregional recurrence (5.6%) at 10.1 years follow-up for young women diagnosed with breast cancer under 40. Surgical decision-making should not be influenced by concerns about long-term risk.
Researchers pioneer a new AI method to uncover cognitive strategies in decision-making, revealing suboptimal behavioral patterns. The study uses small neural networks to predict animal choices with accuracy comparable to larger neural networks.
A UTEP study reveals that acute alcohol consumption profoundly affects male rats' decision-making, leading them to choose higher concentrations of alcohol. In contrast, female rats hold true to their original decisions made soberly. The findings suggest a gender-specific vulnerability to alcohol's effects.
A new study from the University of Bath found that individuals with a higher IQ make more realistic predictions, leading to improved life outcomes. Smarter people are significantly better at forecasting, making fewer errors and showing more consistent judgement compared to those with a lower IQ.
Researchers at Ohio State University found that executives with subprime credit scores tend to follow the advice of advisers, even when it's inaccurate, while those with prime credit scores critically evaluate data and make objective decisions.
Researchers found that instructing individuals on how to think scientifically reduces the causal illusion, a common error in detecting cause-and-effect relationships. Providing adequate information and advice can help overcome this error, suggesting that rewarding people for correct answers may not be the most effective approach
A new study of 591 women with early-stage breast cancer found that nearly two-thirds opted for continued endocrine therapy beyond the initial five years. Patients with higher-risk stage 2 disease were more likely to continue treatment, highlighting potential benefits in extending hormone-based therapy for these patients.
Researchers found that brain's dopamine neurons encode a map of possible future rewards across time and magnitude, guiding adaptive behavior in uncertain environments. This biological insight aligns with recent advances in AI, particularly distributional RL algorithms, which learn from reward distributions rather than averages.
A comprehensive analysis reveals how brains generalize learning from previous experiences to new scenarios, mapping neural pathways from hippocampus to cortex. The study's findings highlight the critical role of the hippocampus and prefrontal cortex in cognitive generalization.
The AI system uses evolutionary computing to find optimal policy solutions that balance trade-offs between carbon storage, economic disruptions, and environmental benefits. It recommends nuanced approaches to land-use strategies, such as replacing crop land with forest, rather than simply converting all land into forests.
Preliminary research suggests that long working hours can induce neuroadaptive changes in the brain, particularly in areas associated with emotional regulation and executive function. The study found increased brain volumes in regions such as the middle frontal gyrus, which is involved in attention and problem-solving.
Researchers at Korea University found a link between internal bodily awareness and making decisions aligned with group consensus. This connection was mediated by brain activity states associated with self-referential processing and internal attention.
Researchers at the University of Utah have developed RiskPath, an Explainable AI toolkit that predicts disease progression years before symptoms manifest. The technology analyzes health data to identify high-risk individuals with unprecedented accuracy, offering new insights into risk factor interactions and disease development.
Previous depression survivors exhibit reduced motivation for everyday tasks but become equally motivated with large and certain rewards. This research sheds light on subtle motivational deficits persisting in recovered depression, guiding targeted treatment for sustained recovery.
A study found that journalism engagement training reduced the prevalence of 'horse race' stories and boosted more substantive, community-oriented content. The training program, Democracy SOS, worked with journalists and news outlets across the country to promote solutions-focused coverage and increase transparency.
The study reveals wide disparities in mortality across US states, with some experiencing no improvements in life expectancy from 1900 to 2000 birth cohorts. This disparity can inform decision-making around resource allocation and public health interventions.
A new study by Virginia Tech researchers Jin Xu and Pengfei Ye finds that value-based stock grants can weaken executive motivation and limit corporate growth. The study analyzed thousands of U.S. firms from 2006-22, revealing that companies tying CEO compensation to a fixed dollar amount can unintentionally discourage executives from m...
Researchers found that participants took more risks when interacting with avatars displaying facial expressions compared to real human faces. The study suggests that the amygdala plays a key role in driving increased risk-taking behavior in avatar-mediated communication.
Researchers found that the brain's visual system adapts in real-time to make sense of information, depending on current tasks. This challenges traditional views and opens new approaches for designing AI systems with adaptive capabilities.
A leadership trap known as the 'accidental dictator' can be avoided by embracing circumscribed empowerment, shared vision, and long-term perspective. Leaders must empower their team members within defined boundaries, engage them in the process of creating a shared vision, and prioritize a long-term perspective to build effective teams.
A new study by Martin-Luther-University Halle-Wittenberg found that brain stimulation can influence decisions, making choices faster with anodal stimulation and slower with cathodal stimulation. The research used transcranial direct current stimulation to activate or inhibit specific brain regions.
A Lehigh University researcher is developing a new platform to enhance flu forecasting through a human judgment temporal forecast system, which aims to improve evidence-based public health decision making. The system will collect unbiased opinions and forecasts from public health experts and the general public.
A new study from the University of Eastern Finland explores the role of intuition in regenerative farmers' decision-making processes. Farmers perceive intuition as a reliable and future-oriented 'personal assistant', leading to better outcomes in farming practices.
A new study found that more 'optimistic' medical detection dogs performed better overall on detection tasks, while 'pessimistic' dogs had higher scent detection specificity. The researchers suggest that judgment bias testing could be a screening tool for potential detection dogs.
A study found that brain activity can predict a person's political affiliation with 80% accuracy when making food purchases. Researchers used fMRI to measure brain activity in Republicans and Democrats, finding distinct neural patterns for each group.
The DAM-Decision and Memory group at Universitat Jaume I studied the cognitive and neural computations that guide decision-making and long-term memory. They found that the hippocampal and medial prefrontal cortex regions use context boundaries to make decisions in both spatial and abstract contexts.
A new UNLV study reveals that CEOs' use of language and format in communicating future plans can shape investor judgments. Written messages are more effective in conveying likelihood, whereas video or audio diminishes the impact.
Researchers have developed a novel technique to overcome the spurious correlations problem in AI by eliminating a small portion of the training data that contains hard-to-understand features. This approach improves performance even when conventional techniques are ineffective.
Researchers found that emotional social media posts increase short-term willingness to pay for sustainable chocolate, but this effect diminishes within two weeks. The study suggests that emotional content can be an effective way to promote sustainable consumption in the short term.
A longitudinal study found that neural changes in teenagers' brain networks for reward processing and executive functioning improve with age. The researchers discovered changes in the strength of communication between brain regions as people aged, associated with improved reward-related decision-making and executive function.
Researchers have identified three cell types in the median raphe nucleus that control decisions on perseverance, exploration, and disengagement. These findings may help understand neuropsychiatric conditions such as OCD, autism, and major depressive disorder.
A study published in Biological Psychiatry found that anxiety and apathy lead to different patterns in how people process uncertainty and make decisions. Participants made choices between exploring new options or sticking with familiar ones, revealing distinct computational mechanisms underlying these behaviors.
A study found that long-term cocaine use increases impulsivity in healthy rats, contradicting the belief that high impulsivity predicts cocaine use. This contradicts research on impulsive choice and delay-discounting tasks.
A Cornell University study found that people who go against their better judgment feel greater feelings of control and culpalibility, even if they received input from an adviser. This effect may extend beyond small decisions to major life choices.
Researchers discovered that trying to make ourselves happier actually makes us less happy by draining our ability to use self-control and willpower. This 'happiness paradox' is caused by mentally exhausting efforts to regulate thoughts, emotions, and behaviors.
A new study found that combining physical warmups with short bursts of cognitive tasks enhances athletic performance. Researchers discovered a 'Goldilocks effect,' where the right balance between cognitive and physical activities is key to optimal performance.
A new study explores whether pairing food labels with odors affects how people perceive foods and promotes healthy shopping. The researchers found that odor-paired beverages were perceived more positively, suggesting that odors can improve label perception and potentially promote healthy food choices.
John Patrick JP Flores has been selected to receive the AIBS EPPLA award for his leadership skills and science policy work. He will participate in an AIBS training program and meet with lawmakers, highlighting the importance of bridging policy and science.
A new study at the University of Gothenburg found that a software robot can detect side effects faster than physicians during amiodarone treatment for cardiac arrhythmia. The robot also recommends appropriate intervals between lab tests, aligning with standard practices and reducing unnecessary testing.
A new study from the University of South Australia found that most people trust AI in situations where the stakes are low, such as music suggestions. However, those with poor statistical literacy or little familiarity with AI were just as likely to trust algorithms for trivial choices as they were for critical decisions. The study also...
The INSEAD webinar delves into the challenges and opportunities of deploying multi-agent AI systems in large-scale enterprise environments. Experts will discuss balancing automation with strategic control and the potential for companies to operate without human involvement.
A new mathematical model sheds light on how the brain processes different cues during decision making, potentially improving treatment for neurological disorders like Alzheimer's. The latent circuit model proposes a 'low-dimensional' mechanism that explains decision-making in large neural networks.
Researchers developed a one-page medication handout that quantifies a drug's risk and benefits, improving patient understanding and decision-making. The study compared this handout with the FDA's version and found it to be more effective in conveying complex information.
Neuroscientists investigated how the brain implements flexibility in decision-making, revealing that it either reuses known neural pathways or develops new patterns. The findings help understand why some adaptations are more difficult than others, especially in social interactions and motor tasks.
A rodent study identified a disrupted brain circuit that contributes to poor decision-making in adulthood after prenatal alcohol exposure. The study also developed an algorithm to predict whether rats were exposed to alcohol based on their behavior alone.
A new study by Cold Spring Harbor Laboratory researchers explains how the brain updates associations between smells and sounds based on context. The findings suggest that a feedback loop between the olfactory cortex and olfactory bulb enables fast adaptation, allowing animals to fine-tune their motor responses accordingly.
A new meta-analysis of over 249 studies and 251,713 US teens finds that knowledge about safer sex is not enough to promote condom use. The study highlights the importance of confidence, planning, and effective communication with partners in encouraging condom use among teens.
A machine learning algorithm developed by researchers at the University of Texas at Austin can assess experts' decision-making quality, including doctors. This innovation has the potential to improve patient outcomes and lower costs by selecting doctors based on their accurate diagnosis rates.
A recent study has explored a new imaging approach that uses swept-source optical coherence tomography to visualize the upper airway with high precision. By integrating computational fluid dynamics, researchers were able to identify areas of turbulence and pinpoint obstruction sites, leading to more accurate diagnoses and treatment pla...
A new study found that emergency department physicians differ in their likelihood of hospitalizing patients, with those who admit more patients being discharged sooner but not less likely to die. The study suggests that differences in physician decision-making drive these variations, rather than patient health.
A study of 9,000 US-based participants reveals that they prioritize efficiency over fairness when choosing between human and algorithmic decision-makers. Notably, Republicans prefer humans more than Democrats, yet most claim fairness is a top priority.
Researchers from Bar-Ilan University discover that classifying objects together through Multi-Label Classification can yield better results than detecting individual objects. This new method allows networks to learn correlations between object combinations, making them more recognizable in real-life applications such as autonomous vehi...
A study by SWPS University researchers challenges prevailing myths about older adults' decision-making abilities. Older adults demonstrate an inherent ability to resist manipulation effectively and make complex decisions as younger people, contrary to previous studies suggesting they are risk-averse.
The study found that critical states in animal groups consist of heterogeneous structures, with role sharing among individuals being crucial for optimized decision-making. The distribution of criticality was nonuniform within the group, but averaging confirmed traditional criticality status.
A cross-sectional study found that including race in disease risk models improves prediction accuracy, but the clinical net benefit is smaller than expected. The researchers provide a widely adaptable framework for deciding whether to include or exclude race from disease risk predictions.
Researchers found a pattern in how people interpret new information, overreacting to weak signals and underreacting to strong ones. This bias holds true across various settings, including financial markets, according to a study analyzing millions of betting transactions and prices on options contracts.
A recent study from Stanford University reveals that dopamine and serotonin work together, but also in opposition, to shape behavior. Researchers found that dopamine signals increase with reward prediction while serotonin signals decrease, but only when both systems are active can animals learn to link cues with rewards.
Researchers found that bypassing misinformation, by providing accurate information with positive implications, can be superior to correction in situations where people form beliefs rather than attitudes. This approach has potential for informing strategies to combat misinformation and change behavior. The study suggests a more nuanced ...