scholarly journals Confidence modulates exploration and exploitation in value-based learning

2017 ◽  
Author(s):  
Annika Boldt ◽  
Charles Blundell ◽  
Benedetto De Martino

AbstractUncertainty is ubiquitous in cognitive processing, which is why agents require a precise handle on how to deal with the noise inherent in their mental operations. Previous research suggests that people possess a remarkable ability to track and report uncertainty, often in the form of confidence judgments. Here, we argue that humans use uncertainty inherent in their representations of value beliefs to arbitrate between exploration and exploitation. Such uncertainty is reflected in explicit confidence judgments. Using a novel variant of a multi-armed bandit paradigm, we studied how beliefs were formed and how uncertainty in the encoding of these value beliefs (belief confidence) evolved over time. We found that people used uncertainty to arbitrate between exploration and exploitation, reflected in a higher tendency towards exploration when their confidence in their value representations was low. We furthermore found that value uncertainty can be linked to frameworks of metacognition in decision making in two ways. First, belief confidence drives decision confidence—that is people’s evaluation of their own choices. Second, individuals with higher metacognitive insight into their choices were also better at tracing the uncertainty in their environment. Together, these findings argue that such uncertainty representations play a key role in the context of cognitive control.

Author(s):  
Stefan Scherbaum ◽  
Simon Frisch ◽  
Maja Dshemuchadse

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.


2019 ◽  
Author(s):  
Nathaniel J. Blanco ◽  
Vladimir Sloutsky

Organisms need to constantly balance the competing demands of gathering information and using previously acquired information to obtain rewarding outcomes (i.e., the “exploration- exploitation” dilemma). Exploration is critical to obtain information to discover how the world works, which should be particularly important for young children. While studies have shown that young children explore in response to surprising events, little is known about how they balance exploration and exploitation across multiple decisions or about how this process changes with development. In this study we compare decision-making patterns of children and adults and evaluate the relative influences of reward-seeking, random exploration, and systematic switching (which approximates uncertainty-directed exploration). In a second experiment we directly test the effect of uncertainty on children’s choices. Influential models of decision-making generally describe systematic exploration as a computationally refined capacity that relies on top-down cognitive control. We demonstrate that (1) systematic patterns dominate young children’s behavior (facilitating exploration), despite protracted development of cognitive control, and (2) that uncertainty plays a major, but complicated, role in determining children’s choices. We conclude that while young children’s immature top-down control should hinder adult-like systematic exploration, other mechanisms may pick up the slack, facilitating broad information gathering in a systematic fashion to build a foundation of knowledge for use later in life.


2019 ◽  
Vol 34 (6) ◽  
pp. 1079-1079
Author(s):  
A Olsen ◽  
M Marr ◽  
D De Boer ◽  
E Jackson ◽  
K Mackiewicz Seghete

Abstract Objective Decision-making requires weighing potential gains and losses. Adolescents who have experienced maltreatment may be more sensitive to potential gains or losses than other adolescents. The aim of these analyses was to examine trajectories of decision-making over time in adolescents based on maltreatment history and severity. Method The study included 69 adolescents 13 to 17 years old (M = 14.9). Maltreatment history and severity were assessed using the Childhood Trauma Questionnaire. Adolescents also completed a modified Iowa Gambling Task (mIGT). Outcomes of interest were the percentage of advantageous responses and net score (measure of overall performance integrating advantageous and disadvantageous plays) for each of three blocks. Results The trajectory of performance across blocks was defined using a conditional linear growth curve model with factor loadings fixed at block 1, block 2, and block 3. Greater maltreatment severity was associated with less increase in net score over time (M = -4.453, p < .001). In contrast, abuse severity (M = 6.675, p = .002) and the presence of neglect (M = 13.058, p = .002) were associated with sharper increases in net score. A regression revealed maltreatment severity, presence of abuse, presence of neglect, and abuse severity significantly predicted the percentage of advantageous plays only during the second block of the mIGT (R2 = .180, p = .030). Conclusions This study provides evidence that maltreatment history and severity are associated with the trajectory of decision-making over time. It also provides support for the importance of examining performance trajectory and heterogeneity in maltreatment regarding cognitive processing.


Author(s):  
Kobe Desender ◽  
Tobias H. Donner ◽  
Tom Verguts

AbstractHuman observers can reliably report their confidence in the choices they make. An influential framework conceptualizes decision confidence as the probability of a decision being correct, given the choice made and the evidence on which it was based. This framework accounts for three diagnostic signatures of human confidence reports, including an opposite dependence of confidence on evidence strength for correct and error trials. However, the framework does not account for the temporal evolution of these signatures, because it only describes the transformation of a static representation of evidence into choice and the associated confidence. Here, we combine this framework with another influential framework: dynamic accumulation of evidence over time, and build on the notion that confidence reflects the probability of being correct, given the choice and accumulated evidence up until that point. Critically, we show that such a dynamic model predicts that the diagnostic signatures of confidence depend on time; most critically, it predicts a stronger opposite dependence of confidence on evidence strength and choice correctness as a function of time. We tested, and confirmed, these predictions in human behaviour during random dot motion discrimination, in which confidence judgments were queried at different points in time. We conclude that human confidence reports reflect the dynamics of the probability of being correct given the accumulated evidence and choice.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Payam Piray ◽  
Nathaniel D. Daw

AbstractIt is thought that the brain’s judicious reuse of previous computation underlies our ability to plan flexibly, but also that inappropriate reuse gives rise to inflexibilities like habits and compulsion. Yet we lack a complete, realistic account of either. Building on control engineering, here we introduce a model for decision making in the brain that reuses a temporally abstracted map of future events to enable biologically-realistic, flexible choice at the expense of specific, quantifiable biases. It replaces the classic nonlinear, model-based optimization with a linear approximation that softly maximizes around (and is weakly biased toward) a default policy. This solution demonstrates connections between seemingly disparate phenomena across behavioral neuroscience, notably flexible replanning with biases and cognitive control. It also provides insight into how the brain can represent maps of long-distance contingencies stably and componentially, as in entorhinal response fields, and exploit them to guide choice even under changing goals.


2021 ◽  
Author(s):  
Romy Frömer ◽  
Amitai Shenhav

Research into value-based decision making has made tremendous progress in identifying behavioral and neural correlates of choice value. However, these correlates have been primarily viewed through a field-specific lens, focusing on how they contribute to the evaluation and selection between options to arrive at a choice. Here, we reveal blind-spots resulting from this limited perspective, and how they can be filled in through taking the perspective of cognitive control. We highlight three particular insights that this perspective offers: (1) a view towards the goal-relevance of one’s options and their features; (2) a view of decision-making correlates as a proxy for monitoring to determine control adjustments; (3) a view of those correlates as a proxy for monitoring that extends temporally and hierarchically beyond the immediate choice task. We show how adopting these complementary perspectives offers new insight into the determinants of both decisions and control; alternative interpretations for common findings in the neuroeconomic literature; and fruitful directions for future research.


2019 ◽  
Author(s):  
Payam Piray ◽  
Nathaniel D. Daw

AbstractIt is thought that the brain’s judicious allocation and reuse of computation underlies our ability to plan flexibly, but also failures to do so as in habits and compulsion. Yet we lack a complete, realistic account of either. Building on control engineering, we introduce a new model for decision making in the brain that reuses a temporally abstracted map of future events to enable biologically-realistic, flexible choice at the expense of specific, quantifiable biases. It replaces the classic nonlinear, model-based optimization with a linear approximation that softly maximizes around (and is weakly biased toward) a learned default policy. This solution exposes connections between seemingly disparate phenomena across behavioral neuroscience, notably flexible replanning with biases and cognitive control. It also gives new insight into how the brain can represent maps of long-distance contingencies stably and componentially, as in entorhinal response fields, and exploit them to guide choice even under changing goals.


Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3257
Author(s):  
Isabel Gallego-Álvarez ◽  
Miguel Rodríguez-Rosa ◽  
Purificación Vicente-Galindo

Governance is a characteristic of political systems that indicates the degrees of cooperation and interaction between a state and non-state actors when it comes to decision making that will have an impact on society. The aim of our research focuses on analysing the behaviour of the Worldwide Governance Indicators (WGI) over the 2002–2019 period, since we are interested in learning whether such indicators varied or remained constant. Moreover, we will gain insight into the evolution of these indicators across countries in different geographical areas. The techniques we have chosen for this research are as follows: Partial Triadic Analysis, also known as X-STATIS, to highlight the stable structure of the evolution of the indicators and countries along the years by means of building an average year; Tucker3 to highlight deeper relationships among countries, indicators and years. A comparative analysis of these methods will allow us to check whether the WGI are stable over the years studied or whether they vary over time, providing information about the differences between the Worldwide Governance Indicators (WGI) in several countries or geographical areas.


CNS Spectrums ◽  
1997 ◽  
Vol 2 (8) ◽  
pp. 26-40 ◽  
Author(s):  
B. Gallhofer ◽  
S. Krieger ◽  
S. Lis ◽  
L. Hargarter ◽  
C. Roder ◽  
...  

AbstractIn this article, we present data on the analysis of maze-solving behavior as a tool for the investigation of cognitive disturbance in schizophrenic patients. Solving maze tasks efficiently requires both an interaction between and an integration of perceptive and action-oriented processes. Starting from the hypothesis that these domains are preferentially disturbed in schizophrenia, we propose that the maze-solving behavior of schizophrenic patients permits insight into specific impairments in disease-related cognitive processing. We present the results of a maze task study comparing medication-free schizophrenic patients and matched healthy controls. This analysis forms the basis for an investigation of the influence of psychopharmacological treatment strategies on the observed behavior in the maze-solving paradigm. Finally, a third study concerned with improvement over time associated with medication is presented, and possible influences of extrapyramidal motor disturbances on schizophrenic patients' maze performance are discussed.


Author(s):  
Jennifer M. Roche ◽  
Arkady Zgonnikov ◽  
Laura M. Morett

Purpose The purpose of the current study was to evaluate the social and cognitive underpinnings of miscommunication during an interactive listening task. Method An eye and computer mouse–tracking visual-world paradigm was used to investigate how a listener's cognitive effort (local and global) and decision-making processes were affected by a speaker's use of ambiguity that led to a miscommunication. Results Experiments 1 and 2 found that an environmental cue that made a miscommunication more or less salient impacted listener language processing effort (eye-tracking). Experiment 2 also indicated that listeners may develop different processing heuristics dependent upon the speaker's use of ambiguity that led to a miscommunication, exerting a significant impact on cognition and decision making. We also found that perspective-taking effort and decision-making complexity metrics (computer mouse tracking) predict language processing effort, indicating that instances of miscommunication produced cognitive consequences of indecision, thinking, and cognitive pull. Conclusion Together, these results indicate that listeners behave both reciprocally and adaptively when miscommunications occur, but the way they respond is largely dependent upon the type of ambiguity and how often it is produced by the speaker.


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