Is interesting knowledge a reward? An integrative model of emotion, reward and appraisal frameworks of epistemic curiosity. DOI Open Access
Asli Erdemli, Catherine Audrin, David Sander

et al.

Published: April 16, 2024

Is interesting knowledge a reward? To tackle this question, we review drive, optimal arousal, intrinsic motivation, information-gap, emotion, reward, and computational accounts of epistemic curiosity. fMRI, EEG, physiological behavioral evidence in favor the curiosity-as-a-reward-anticipation hypothesis is discussed: curiosity activates dopaminergic brain reward circuit, enhances attention, memory, academic learning. We propose an appraisal model which integrates active inference According to model, emotion triggered by perceived relevance, uncertainty coping potential knowledge-gaps. Curiosity confers value its object, triggers anticipation process motivates exploitative knowledge-seeking behavior (i.e., wanting knowledge). Once satisfied, future expectations are updated according affective prediction errors (i.e. liking learning). If appraised as low, knowledge-gap creates anxiety leads information-avoidance. also discuss what roles play frustration, enjoyment, boredom surprise dynamics knowledge-acquisition.

Language: Английский

The Emotional Pendulum in ADHD: Insights from Ecological Momentary Assessment of Emotional States in Young Adults DOI

Neta Yizhak,

Maayan Ben-Dor Cohen,

Ruth Traub Bar-Ilan

et al.

Behavior Therapy, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Difficult to Treat Anxiety: A neurocomputational framework DOI
Martin P. Paulus, Murray B. Stein

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

When the Job is Done: Exhaustion or Elation? A Pilot Study on the Effects of Cognitive and Physical Effort on the Behavior of Minipigs DOI Creative Commons

Vivien Scheven,

Lorenz Gygax

Journal of Applied Animal Welfare Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 8

Published: April 23, 2025

Long-term affective states such as mood may best reflect the welfare of an animal. They are likely to depend on how animal assesses outcomes its own behavioral actions. These post-consummatory often low arousal and, accordingly, difficult observe. Here, we investigated whether behavior minipigs shown during hour following experimental session differed between a cognitive and physical task. We assumed that differences would allow us see animals assessed tasks after completing them. The increased resting, feeding, drinking task compared task, indicating need make up for energy spent. In addition, foraging was reduced with control day, whereas non-food-related exploration remained similar level. This change in might be interpreted "leisure." Overall, approach used seems promising assess much likes outcome behavior. situations turn cumulatively longer-term are, correspondingly, relevant long-term state animals.

Language: Английский

Citations

0

Computational models of subjective feelings in psychiatry DOI Creative Commons
Chang-Hao Kao,

Gloria Feng,

Jihyun K. Hur

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 145, P. 105008 - 105008

Published: Dec. 19, 2022

Language: Английский

Citations

18

Emotions and individual differences shape foraging under threat DOI Open Access
Hailey A. Trier, Jill X. O’Reilly, Lisa Spiering

et al.

Published: May 4, 2023

A common behaviour in natural environments is foraging for rewards. However, this often the presence of predators. Therefore, one most fundamental decisions humans, as other animals, how to apportion time between reward-motivated pursuit and threat-motivated checking behaviour. To understand what affects people strike balance, we developed a novel ecologically inspired task looked at both within-participant dynamics (moods) between-participant individual differences (questionnaires about real-life behaviours) two large internet samples (n=374 n=702) cross-sectional design. For dynamics, found that regulate task-evoked stress homeostatically by changing (increasing hiding). Individual differences, even superficially related traits (apathy-anhedonia anxiety-compulsive checking) reliably mapped onto unique behaviours. Worse performance, due maladaptive checking, was linked gender (women checked excessively) specific anxiety-related traits: somatic anxiety (reduced self-reported worry) compulsivity (self-reported disorganized checking). While anhedonia decreased engagement, apathy, strikingly, improved overall performance reducing excessive checking. In summary, provide multifaceted paradigm assessment threat naturalistic which sensitive moods they change throughout clinical dimensions. Thus, it could serve an objective measurement tool future studies interested threat, vigilance or behaviour-emotion interactions contexts requiring reward-seeking threat-avoidance.

Language: Английский

Citations

10

Why I am not a Turing machine DOI Creative Commons
Keith J. Holyoak

Journal of Cognitive Psychology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: Aug. 27, 2024

Recent advances in artificial intelligence have reinvigorated the longstanding debate regarding whether or not any aspects of human cognition—notably, high-level creativity—are beyond reach computer programs. Is creativity entirely a computational process? Here I consider one general argument for dissociation between and creativity, which hinges on role consciousness—inner experience—in cognition. It appears unlikely that inner experience is itself process, implying it cannot be instantiated an abstract Turing machine, nor current architecture. Psychological research strongly implies integrates emotions with perception thoughts. This integrative function consciousness likely plays key mechanisms support creativity. conclusion dovetails anecdotal reports creative individuals, who linked intrinsic motivation to create, ability access novel connections ideas.

Language: Английский

Citations

3

The Human Affectome DOI Open Access
Daniela Schiller, Alessandra Nicoletta Cruz Yu, Nelly Alia‐Klein

et al.

Published: June 11, 2022

Over the last decades, interdisciplinary field of affective sciences has seen proliferation rather than integration theoretical perspectives. This is due to differences in metaphysical and mechanistic assumptions about human phenomena (what they are how work) which, shaped by academic motivations values, have determined constructs operationalizations. An assumption on purpose phenomenacan be used as a teleological principle guide construction common set assumptions—a framework for research. In this capstone paper special issue “Towards an Integrated Understanding Human Affectome”, we gather tiered synthesize that account phenomenacollectively. teleologically-grounded offers principled agenda launchpad both organizing existing perspectives generating new ones. Ultimately, hope Affectome brings us step closer not only integrated understanding phenomena, but

Language: Английский

Citations

13

Mood Instability: A reference-dependent computational account DOI Open Access
Orestis Zavlis, Richard P. Bentall, Peter Fonagy

et al.

Published: Jan. 12, 2024

Despite empirical progress, our theoretical understanding of mood instability remains stagnant. The uncertainties surrounding can be traced back to reliance on natural language as a means specifying its aspects. Here, we address the vagaries by developing first formal theory instability. Our computational is grounded notion reference-based evaluation: process which humans ascribe value stimuli based comparative frame reference. Building existing theories evaluation, propose dynamic framework use simulate various evaluative situations. simulations furnish three forms instability: emotional rigidity (gravitating toward particular affective states), transiency (experiencing brief emotions), and reactivity strong emotionality). types clarify previous murky verbal descriptions, delineate traditionally conflated types, offer substantive insights regarding measurement development

Language: Английский

Citations

2

Computational analysis, appraised concern-relevance, and the amygdala: The algorithmic value of appraisal processes in emotion DOI
Yoann Stussi, David Sander

Neuroscience & Biobehavioral Reviews, Journal Year: 2024, Volume and Issue: 161, P. 105676 - 105676

Published: April 15, 2024

Language: Английский

Citations

2

Mood fluctuations shift cost–benefit tradeoffs in economic decisions DOI Creative Commons
Roeland Heerema, Pablo Carrillo, Jean Daunizeau

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Oct. 24, 2023

Mood effects on economic choice seem blatantly irrational, but might rise from mechanisms adapted to natural environments. We have proposed a theory in which mood helps adapting the behaviour statistical dependencies environment, by biasing expected value of foraging actions (which involve taking risk, spending time and making effort get more reward). Here, we tested existence this mechanism, using an established induction paradigm combined with independent choices that opposed small uncostly rewards larger costly (involving either delay or effort). To maximise sensitivity fluctuations, developed algorithm ensuring options were continuously adjusted subjective indifference points. In 102 participants twice, found during episodes positive (relative negative mood), biased towards better rewarded options, irrespective cost type. Computational modelling confirmed incidental effect was best explained bias added prior decision making. This is therefore automatically applied even artificial environments where it not adaptive, allowing spill over many sorts decisions generate irrational behaviours.

Language: Английский

Citations

6