scholarly journals Competing and Interfering Conflict: Insights from Decision-Making Tasks

2021 ◽  
Author(s):  
Xu He ◽  
Boyu Qiu ◽  
Yanrong Cheng ◽  
Ting Liu ◽  
Sixian Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cognitive Control ◽  
Human Behavior ◽  
Flanker Task ◽  
Distinguishing Characteristic ◽  
Backward Masking ◽  
Time Effects ◽  
Majority Function ◽  
Study Participants

Abstract Cognitive control, the most distinguishing characteristic of human behavior, is typically studied by conflict paradigms, in which conflicts are induced by goal-irrelevant stimuli (interfering conflict). We argue that competing conflict, where all stimuli need to be processed, is more basic and can also be measured using a decision-making task. In the current study, participants completed modified versions of the backward masking majority function task and the Flanker task to compare the two types of conflict in several dimensions, including reaction and resolving time, effects related to cognitive control (conflict adaption and error-related slowing), inter-stimuli distance, and uncertainty of the location. The results of these comparisons illustrate the unity and diversity of these two types of conflict. The potential application of the computational model in competing conflict is also discussed. The results will not only deepen our understanding of cognitive control and decision-making but also contribute to other areas like artificial intelligence.

A Bird in the Hand Isn’t Good for Long

2018 ◽  
Vol 65 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Stefan Scherbaum ◽  
Simon Frisch ◽  
Maja Dshemuchadse
Keyword(s):  
Decision Making ◽  
Cognitive Control ◽  
The Other ◽  
Decision Task ◽  
Short Term ◽  
Additional Time ◽  
Control Processes ◽  
Folk Wisdom ◽  
Study Participants ◽  
Insight Into

Abstract. Folk wisdom tells us that additional time to make a decision helps us to refrain from the first impulse to take the bird in the hand. However, the question why the time to decide plays an important role is still unanswered. Here we distinguish two explanations, one based on a bias in value accumulation that has to be overcome with time, the other based on cognitive control processes that need time to set in. In an intertemporal decision task, we use mouse tracking to study participants’ responses to options’ values and delays which were presented sequentially. We find that the information about options’ delays does indeed lead to an immediate bias that is controlled afterwards, matching the prediction of control processes needed to counter initial impulses. Hence, by using a dynamic measure, we provide insight into the processes underlying short-term oriented choices in intertemporal decision making.

scholarly journals Any way the brain blows? The nature of decision noise in random exploration

2018 ◽  
Author(s):  
Siyu Wang ◽  
Robert C Wilson
Keyword(s):  
Decision Making ◽  
Cognitive Control ◽  
Recent Work ◽  
Human Behavior ◽  
External Noise ◽  
Behavioral Variability ◽  
The World ◽  
Human Decision ◽  
Adaptive Noise ◽  
The Brain

Human decision making is inherently variable. While this variability is often seen as a sign of suboptimality in human behavior, recent work suggests that randomness can actually be adaptive. An example arises when we must choose between exploring unknown options or exploiting options we know well. A little randomness in these `explore-exploit' decisions is remarkably effective as it encourages us to explore options we might otherwise ignore. Moreover, people actually use such `random exploration' in practice, increasing their behavioral variability when it is more valuable to explore. Despite this progress, the nature of adaptive `decision noise' for exploration is unknown -- specifically whether it is generated internally, from stochastic processes in the brain, or externally, from stochastic stimuli in the world. Here we show that, while both internal and external noise drive variability in behavior, the noise driving random exploration is predominantly internal. This suggests that random exploration depends on adaptive noise processes in the brain which are subject to cognitive control.

Give Me Just a Little More Time: Effects of Alcohol on the Failure and Recovery of Cognitive Control

2014 ◽  
Author(s):  
Kira Bailey ◽  
Bruce D. Bartholow ◽  
J. Scott Saults ◽  
Sarah A. Lust
Keyword(s):  
Cognitive Control ◽  
Time Effects

Age-Related Differences in Motivational Integration and Cognitive Control

2019 ◽  
Author(s):  
Debbie Marianne Yee ◽  
Sarah L Adams ◽  
Asad Beck ◽  
Todd Samuel Braver
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Cognitive Control ◽  
Task Performance ◽  
Cognitive Task ◽  
Monetary Reward ◽  
Potential Candidate ◽  
Younger Adults ◽  
Age Related ◽  
Cognitive Task Performance

Motivational incentives play an influential role in value-based decision-making and cognitive control. A compelling hypothesis in the literature suggests that the brain integrates the motivational value of diverse incentives (e.g., motivational integration) into a common currency value signal that influences decision-making and behavior. To investigate whether motivational integration processes change during healthy aging, we tested older (N=44) and younger (N=54) adults in an innovative incentive integration task paradigm that establishes dissociable and additive effects of liquid (e.g., juice, neutral, saltwater) and monetary incentives on cognitive task performance. The results reveal that motivational incentives improve cognitive task performance in both older and younger adults, providing novel evidence demonstrating that age-related cognitive control deficits can be ameliorated with sufficient incentive motivation. Additional analyses revealed clear age-related differences in motivational integration. Younger adult task performance was modulated by both monetary and liquid incentives, whereas monetary reward effects were more gradual in older adults and more strongly impacted by trial-by-trial performance feedback. A surprising discovery was that older adults shifted attention from liquid valence toward monetary reward throughout task performance, but younger adults shifted attention from monetary reward toward integrating both monetary reward and liquid valence by the end of the task, suggesting differential strategic utilization of incentives. Together these data suggest that older adults may have impairments in incentive integration, and employ different motivational strategies to improve cognitive task performance. The findings suggest potential candidate neural mechanisms that may serve as the locus of age-related change, providing targets for future cognitive neuroscience investigations.

Exploring an Emotional Basis of Cognitive Control in the Flanker Task

2020 ◽  
Author(s):  
Motonori Yamaguchi ◽  
Jack Dylan Moore ◽  
Sarah Hendry ◽  
Felicity Wolohan
Keyword(s):  
Cognitive Control ◽  
Facial Expressions ◽  
Mood Induction ◽  
Flanker Task ◽  
Emotional Stimuli ◽  
Emotional Facial Expressions ◽  
Flanker Effect ◽  
Sequential Modulation ◽  
Emotional Basis ◽  
Negative Stimuli

The emotional basis of cognitive control has been investigated in the flanker task with various procedures and materials across different studies. The present study examined the issue with the same flanker task but with different types of emotional stimuli and design. In seven experiments, the flanker effect and its sequential modulation according to the preceding trial type were assessed. Experiments 1 and 2 used affective pictures and emotional facial expressions as emotional stimuli, and positive and negative stimuli were intermixed. There was little evidence that emotional stimuli influenced cognitive control. Experiments 3 and 4 used the same affective pictures and facial expressions, but positive and negative stimuli were separated between different participant groups. Emotional stimuli reduced the flanker effect as well as its sequential modulation regardless of valence. Experiments 5 and 6 used affective pictures but manipulated arousal and valence of stimuli orthogonally The results did not replicate the reduced flanker effect or sequential modulation by valence, nor did they show consistent effects of arousal. Experiment 7 used a mood induction technique and showed that sequential modulation was positively correlated with valence rating (the higher the more positive) but was negatively correlated with arousal rating. These results are inconsistent with several previous findings and are difficult to reconcile within a single theoretical framework, confirming an elusive nature of the emotional basis of cognitive control in the flanker task.

Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Support System ◽  
Clinical Setting ◽  
Clinical Decision Making ◽  
Theoretical Perspective ◽  
Care Providers

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.

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