scholarly journals Rapid Online Changes of Mind during Value-based Action Decisions

2019 ◽  
Author(s):  
Angela Martí-Marca ◽  
Gustavo Deco ◽  
Ignasi Cos
Keyword(s):  
Decision Making ◽  
Motor Planning ◽  
Target Position ◽  
Reasonable Doubt ◽  
Experimental Conditions ◽  
Movement Velocity ◽  
Movement Trajectories ◽  
Reward Delivery ◽  
Human Participants ◽  
Benefit Cost

AbstractWhile the principles of decision-making are often expressed in terms of benefit-cost trade-off, reasonable doubt remains as to how the cognitive value and motor cost associated to several options may be computed across several brain areas, ultimately leading to a decision. Furthermore, does the assessment of non-chosen options continue after the decision has been made and the selected movement is already ongoing? Does the planning of several motor options depend on a unique parallel process or are there some elements within the sensorimotor loop requiring a sequential processing? Our hypothesis is that a change of available prospects at any point in time should dynamically adjust the desirability for each option, implying a fast reassessment of values and costs across prefrontal and motor cortical areas, even after an initial decision has been made and its associated response movement is ongoing. To test this, we performed a decision-making task in which human participants were instructed to select a reaching path trajectory from an origin to a wide rectangular target to gain the most reward. Reward delivery was contingent upon the distribution of value and upon precise target arrival. The original value distribution was altered during the ongoing movement in one third of the trials. Our results show that participants changed their movement trajectories towards the target position offering a better prospect, as presented by the second distribution. The changes of mind occurred more frequently for slow movements, had a duration in average inferior to the reaction time, and altered the initial timing and movement velocity. Although reward is the main factor guiding the selection of a specific movement in our experiment, our results indicate that the motor system was biased towards early changes of mind, given that the amplitude of the first acceleration and velocity peaks was significantly smaller in trials in which the participant switched target side and those in which they stuck to their original choice. Finally, the short latency of the recorded changes of mind strongly supports the hypothesis that, for the experimental conditions hereby considered, value considerations occur in parallel to motor planning.

scholarly journals Auditory Coding of Reaching Space

2020 ◽  
Vol 10 (2) ◽  
pp. 429 ◽  
Author(s):  
Ursula Fehse ◽  
Gerd Schmitz ◽  
Daniela Hartwig ◽  
Shashank Ghai ◽  
Heike Brock ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Target Position ◽  
Movement Control ◽  
Reaching Movements ◽  
Auditory Information ◽  
Movement Velocity ◽  
Movement Trajectories ◽  
Visual Movement ◽  
Spatial Dimensions ◽  
Based Instruction

Reaching movements are usually initiated by visual events and controlled visually and kinesthetically. Lately, studies have focused on the possible benefit of auditory information for localization tasks, and also for movement control. This explorative study aimed to investigate if it is possible to code reaching space purely by auditory information. Therefore, the precision of reaching movements to merely acoustically coded target positions was analyzed. We studied the efficacy of acoustically effect-based and of additional acoustically performance-based instruction and feedback and the role of visual movement control. Twenty-four participants executed reaching movements to merely acoustically presented, invisible target positions in three mutually perpendicular planes in front of them. Effector-endpoint trajectories were tracked using inertial sensors. Kinematic data regarding the three spatial dimensions and the movement velocity were sonified. Thus, acoustic instruction and real-time feedback of the movement trajectories and the target position of the hand were provided. The subjects were able to align their reaching movements to the merely acoustically instructed targets. Reaching space can be coded merely acoustically, additional visual movement control does not enhance reaching performance. On the basis of these results, a remarkable benefit of kinematic movement acoustics for the neuromotor rehabilitation of everyday motor skills can be assumed.

Optimized Electric Vehicle Charging Pricing Method Using Game Theory

2014 ◽  
Vol 986-987 ◽  
pp. 400-403 ◽  
Author(s):  
Kuan Lu ◽  
Wen Shan Gao ◽  
Jing Li ◽  
Wan Lei Xue ◽  
Wen Xue Sun
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Cost Analysis ◽  
Benefit Cost Analysis ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Main Factors ◽  
Benefit Cost ◽  
Behavior Models ◽  
Ev Charging

First, behavior models of the station operator and consumer are established considering all the main factors. Second, an optimized EV charging pricing method using Game Theory is introduced based on benefit-cost analysis. The calculation of government subsidies is also proposed in order to reach an equilibrium charging price. Finally, actual data of Hebei is used and results are shown to give supports to local government and charging station operator’s decision making.

scholarly journals Same model, different conclusions: An identifiability issue in the linear ballistic accumulator model of decision-making

2020 ◽  
Author(s):  
Nathan J. Evans
Keyword(s):  
Decision Making ◽  
Diffusion Model ◽  
Large Scale ◽  
Drift Rate ◽  
Decision Time ◽  
Measurement Properties ◽  
Decision Threshold ◽  
Experimental Conditions ◽  
Model Application ◽  
Linear Ballistic Accumulator

Evidence accumulation models (EAMs) – the dominant modelling framework for speeded decision-making – have become an important tool for model application. Model application involves using specific model to estimate parameter values that relate to different components of the cognitive process, and how these values differ over experimental conditions and/or between groups of participants. In this context, researchers are often agnostic to the specific theoretical assumptions made by different EAM variants, and simply desire a model that will provide them with an accurate measurement of the parameters that they are interested in. However, recent research has suggested that the two most commonly applied EAMs – the diffusion model and the linear ballistic accumulator (LBA) – come to fundamentally different conclusions when applied to the same empirical data. The current study provides an in-depth assessment of the measurement properties of the two models, as well as the mapping between, using two large scale simulation studies and a reanalysis of Evans (2020a). Importantly, the findings indicate that there is a major identifiability issue within the standard LBA, where differences in decision threshold between conditions are practically unidentifiable, which appears to be caused by a tradeoff between the threshold parameter and the overall drift rate across the different accumulators. While this issue can be remedied by placing some constraint on the overall drift rate across the different accumulators – such as constraining the average drift rate or the drift rate of one accumulator to have the same value in each condition – these constraints can qualitatively change the conclusions of the LBA regarding other constructs, such as non-decision time. Furthermore, all LBA variants considered in the current study still provide qualitatively different conclusions to the diffusion model. Importantly, the current findings suggest that researchers should not use the unconstrained version of the LBA for model application, and bring into question the conclusions of previous studies using the unconstrained LBA.

scholarly journals Cyborg Groups Enhance Face Recognition in Crowded Environments

2018 ◽  
Author(s):  
Davide Valeriani ◽  
Riccardo Poli
Keyword(s):  
Decision Making ◽  
Face Recognition ◽  
Machine Vision ◽  
Decision Confidence ◽  
Computer Interfaces ◽  
Recognition Experiment ◽  
Or Groups ◽  
Individual Decisions ◽  
Human Participants ◽  
Crowded Environments

AbstractRecognizing a person in a crowded environment is a challenging, yet critical, visual-search task for both humans and machine-vision algorithms. This paper explores the possibility of combining a residual neural network (ResNet), brain-computer interfaces (BCIs) and human participants to create “cyborgs” that improve decision making. Human participants and a ResNet undertook the same face-recognition experiment. BCIs were used to decode the decision confidence of humans from their EEG signals. Different types of cyborg groups were created, including either only humans (with or without the BCI) or groups of humans and the ResNet. Cyborg groups decisions were obtained weighing individual decisions by confidence estimates. Results show that groups of cyborgs are significantly more accurate (up to 35%) than the ResNet, the average participant, and equally-sized groups of humans not assisted by technology. These results suggest that melding humans, BCI, and machine-vision technology could significantly improve decision-making in realistic scenarios.

scholarly journals Neural encoding of perceived patch value during competitive and hazardous virtual foraging

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Brian Silston ◽  
Toby Wise ◽  
Song Qi ◽  
Xin Sui ◽  
Peter Dayan ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Foraging ◽  
Survival Strategy ◽  
Neural Encoding ◽  
Individual Level ◽  
Hazardous Environments ◽  
Predatory Attack ◽  
Multidimensional Information ◽  
Human Participants ◽  
Foraging Task

AbstractNatural observations suggest that in safe environments, organisms avoid competition to maximize gain, while in hazardous environments the most effective survival strategy is to congregate with competition to reduce the likelihood of predatory attack. We probed the extent to which survival decisions in humans follow these patterns, and examined the factors that determined individual-level decision-making. In a virtual foraging task containing changing levels of competition in safe and hazardous patches with virtual predators, we demonstrate that human participants inversely select competition avoidant and risk diluting strategies depending on perceived patch value (PPV), a computation dependent on reward, threat, and competition. We formulate a mathematically grounded quantification of PPV in social foraging environments and show using multivariate fMRI analyses that PPV is encoded by mid-cingulate cortex (MCC) and ventromedial prefrontal cortices (vMPFC), regions that integrate action and value signals. Together, these results suggest humans utilize and integrate multidimensional information to adaptively select patches highest in PPV, and that MCC and vMPFC play a role in adapting to both competitive and predatory threats in a virtual foraging setting.

scholarly journals Gender Differences and Unfairness Processing during Economic and Moral Decision-Making: A fNIRS Study

2020 ◽  
Vol 10 (9) ◽  
pp. 647
Author(s):  
Maria Elide Vanutelli ◽  
Francesca Meroni ◽  
Giulia Fronda ◽  
Michela Balconi ◽  
Claudio Lucchiari
Keyword(s):  
Decision Making ◽  
Cortical Activation ◽  
Moral Decision Making ◽  
Experimental Conditions ◽  
Fairness Perception ◽  
Social And Emotional ◽  
Economic Decisions ◽  
Moral Choices ◽  
The Right ◽  
Social Decision Making

Decisional conflicts have been investigated with social decision-making tasks, which represent good models to elicit social and emotional dynamics, including fairness perception. To explore these issues, we created two modified versions of the UG framed within an economic vs. a moral context that included two kinds of unfair offers: advantageous (upside, U) or disadvantageous (downside, D) from the responder’s perspective, and vice-versa for the proponent. The hemodynamic activity of 36 participants, 20 females and 16 males, was continuously recorded with fNIRS to investigate the presence of general or specific circuits between the different experimental conditions. Results showed that disadvantageous offers (D) are associated with an increased widespread cortical activation. Furthermore, we found that advantageous moral choices at the expense of others (U) were related to the activation of the right prefrontal cortex. Finally, we found gender-related differences in brain activations in the different frameworks. In particular, the DLPFC was recruited by females during the economic task, and by males during the moral frame. In conclusion, the present study confirmed and expanded previous data about the role of the prefrontal cortices in decision-making, suggesting the need for further studies to understand better the different prefrontal networks serving moral and economic decisions also considering gender-related differences.

Decision-Making Under Model Uncertainty of Damaged Aircraft Systems

2009 ◽  
Author(s):  
Israel Lopez ◽  
Nesrin Sarigul-Klijn
Keyword(s):  
Decision Making ◽  
Motion Planning ◽  
Trajectory Planning ◽  
Evidence Theory ◽  
Target Position ◽  
Landing Site ◽  
Assessment Process ◽  
Diagnosis And Prognosis ◽  
Human Decision ◽  
Aircraft Trajectory

When in-flight failures occur, rapid and precise decision-making under imprecise information is required in order to regain and maintain control of the aircraft. To achieve planned aircraft trajectory and complete landing safely, the uncertainties in vehicle parameters of the damaged aircraft need to be learned and incorporated at the level of motion planning. Uncertainty is a very important concern in recovery of damaged aircraft since it can cause false diagnosis and prognosis that may lead to further performance degradation and mission failure. The mathematical and statistical approaches to analyzing uncertainty are first presented. The damaged aircraft is simulated via a simplified kinematics model. The different sources and perspectives of uncertainties under a damage assessment process and post-failure trajectory planning are presented and classified. The decision-making process for an emergency motion planning to landing site is developed via the Dempster-Shafer evidence theory. The objective of the trajectory planning is to arrive at a target position while maximizing the safety of the aircraft under uncertain conditions. Simulations are presented for an emergency motion planning and landing that takes into account aircraft dynamics, path complexity, distance to landing site, runway characteristics, and subjective human decision.

Estimating Costs and Benefits of Transportation Corridor Alternatives

1997 ◽  
Vol 1606 (1) ◽  
pp. 115-123
Author(s):  
Patrick Decorla-Souza ◽  
Brian Gardner ◽  
Michael Culp ◽  
Jerry Everett ◽  
Chimai Ngo ◽  
...  
Keyword(s):  
Decision Making ◽  
Travel Demand ◽  
Salt Lake ◽  
Salt Lake City ◽  
Costs And Benefits ◽  
Benefit Cost Analysis ◽  
Demand Models ◽  
Data Output ◽  
Lake City ◽  
Benefit Cost

Although benefit-cost assessment is a useful tool in structuring the decision making process, it has not generally been used to assist in multi-modal decision making in metropolitan areas. Also, although detailed zone-to-zone trip information can be obtained from metropolitan travel-demand models, this information is not currently used by planners in developing detailed information on cross-modal comparisons of costs and benefits. A real-world application of benefit-cost analysis for multi-modal decision making using detailed zone-to-zone trip data output from travel-demand models for the I-15 corridor in Salt Lake City is presented. The analysis was conducted at two levels: corridor and region-wide. The research suggests that, when major investments are to be evaluated, the analyst should be very cautious in performing corridor-level analyses when such a trip-based approach is used, because of significant effects on the evaluation caused by traffic diverted into (or out of) the corridor.

Are Cyber Attackers Thinking Fast and Slow? Exploratory Analysis Reveals Evidence of Decision-Making Biases in Red Teamers

2019 ◽  
Vol 63 (1) ◽  
pp. 427-431 ◽  
Author(s):  
Robert S. Gutzwiller ◽  
Kimberly J. Ferguson-Walter ◽  
Sunny J. Fugate
Keyword(s):  
Decision Making ◽  
Cognitive Biases ◽  
Measurement Techniques ◽  
Observational Evidence ◽  
Experimental Conditions ◽  
Future Directions ◽  
Take The Best ◽  
Behavioral Measurement ◽  
Decision Making Biases

We report on whether cyber attacker behaviors contain decision making biases. Data from a prior experiment were analyzed in an exploratory fashion, making use of think-aloud responses from a small group of red teamers. The analysis provided new observational evidence of traditional decision-making biases in red team behaviors (confirmation bias, anchoring, and take-the-best heuristic use). These biases may disrupt red team decisions and goals, and simultaneously increase their risk of detection. Interestingly, at least part of the bias induction may be related to the use of cyber deception. Future directions include the development of behavioral measurement techniques for these and additional cognitive biases in cyber operators, examining the role of attacker traits, and identifying the conditions where biases can be induced successfully in experimental conditions.

A new local feedback model of the saccadic burst generator

1988 ◽  
Vol 59 (5) ◽  
pp. 1455-1475 ◽  
Author(s):  
C. A. Scudder
Keyword(s):  
Target Position ◽  
Burst Frequency ◽  
Experimental Conditions ◽  
Burst Neurons ◽  
Feedback Model ◽  
Long Duration ◽  
Important Input ◽  
Local Feedback ◽  
The Brain ◽  
Omnipause Neurons

1. To accommodate the finding that the superior colliculus is an important input to the brain stem pathways that generate saccades (the saccadic burst generator), a new model of the burst generator is proposed. Unlike the model of Robinson (61) from which it was derived, the model attempts to match a neural replica of change in eye position, which is the output of the burst generator, to a neural replica of change in target position, which is the output of the colliculus and the input to the model. 2. The elements of the model correspond to neurons known or thought to be associated with the actual primate saccadic burst generator and are mostly connected together in accord with the results of anatomical and physiological experiments. 3. The model was simulated on a digital computer to compare its behavior with that of the actual burst generator under normal and experimental conditions. Simulated peak burst frequency and saccade duration matched that obtained from monkey excitatory burst neurons and inhibitory burst neurons for saccades up to 15 degrees but did not match at larger sizes; stimulation of the omnipause neurons caused an interruption of the saccade, and the saccade resumed at the end of stimulation as in actual data; the model can generate the abnormally long-duration saccades seen under decreased alertness or various pathologies by changing the burst generator inputs and without having to change any properties of the neurons themselves or their connections; a simulated horizontal and vertical burst generator pair connected only through the omnipause neurons can generate realistic oblique saccades. 4. The implications of the model for higher-order control of the saccadic burst generator are discussed.

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