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OPTIMIZERR SIGNED

Errors as cost-optimizing decisions? Redefining the origin and nature of human decision errors in light of associated neural computations

Total Cost €

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EC-Contrib. €

0

Partnership

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 OPTIMIZERR project word cloud

Explore the words cloud of the OPTIMIZERR project. It provides you a very rough idea of what is the project "OPTIMIZERR" about.

optimal    attribute    perceptual    reward    exhibit    compulsive    virtually    trade    peripheries    uncertain    origin    orientations    optimize    previously    poorly    cheaper    sources    inference    decisions    repetitive    psychiatric    policy    decide    neuroimaging    combination    historically    multimodal    false    otherwise    neural    rely    ing    cognition    arise    imperfections    relevance    guided    human    light    errors    decreasing    disorders    deemed    conflicting    computations    limited    obsessive    modeling    making    emergence    redefine    combine    hypothesize    hypothesis    instead    judgments    humans    essentially    schizophrenia    theories    decision    pressures    clinical    suboptimal    precision    cognitive    behavior    computational    degree    imposed    generality    accuracy    dominant    probabilistic    off    functional    separately    bridging    environment    shed    multiple    variability    demands    types    original    adapt    compromises    pieces    ambiguous    shape    hypothesized    failures    unsuspected    psychological    dysfunctions    checking    beliefs   

Project "OPTIMIZERR" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE 

Organization address
address: RUE DE TOLBIAC 101
city: PARIS
postcode: 75654
website: www.inserm.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙497˙125 €
 EC max contribution 1˙497˙125 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) coordinator 1˙497˙125.00

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 Project objective

Making decisions, from simple perceptual judgments to complex policy-making orientations, often requires to combine multiple pieces of ambiguous or conflicting information. In such uncertain conditions, human decisions exhibit a suboptimal variability whose origin remains poorly understood. Dominant psychological theories attribute the resulting errors to imperfections at the peripheries of an otherwise optimal inference process, and consider them essentially as failures of human cognition. Instead, my research program seeks to redefine decision errors not as cognitive failures, but as cognitive compromises which optimize a trade-off between the expected accuracy of a decision and the cost associated with neural computations required to reach this accuracy. I hypothesize that human decision errors arise to a large part from the limited computational precision of probabilistic inference, and that humans adapt this precision to the cognitive demands imposed by their environment - by increasing it when it is deemed necessary or decreasing it when they can rely on 'cheaper' sources of information to decide. I propose to test this original research hypothesis using a combination of computational modeling and multimodal functional neuroimaging of human decision-making. The degree of generality of the obtained findings will be assessed by bridging research across two types of decisions historically studied separately: perceptual decisions and reward-guided decisions. I will also test the clinical relevance of the hypothesized 'accuracy-cost' trade-off for two psychiatric conditions associated with dysfunctions of decision-making under uncertainty: 1. the emergence of false beliefs in schizophrenia, and 2. the repetitive checking behavior observed in obsessive-compulsive disorders. Together, the proposed research will shed light on previously unsuspected cognitive pressures which shape virtually every human decision, and identify associated neural computations.

 Publications

year authors and title journal last update
List of publications.
2019 Charles Findling, Vasilisa Skvortsova, Rémi Dromnelle, Stefano Palminteri, Valentin Wyart
Computational noise in reward-guided learning drives behavioral variability in volatile environments
published pages: 2066-2077, ISSN: 1097-6256, DOI: 10.1038/s41593-019-0518-9
Nature Neuroscience 22/12 2020-01-29

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