Objective
Cognitive models formalize substantive theory about how people reason, learn, decide, and act. Cognitive models also serve as measurement tools that explain observed behavior in terms of constituent psychological processes. Because of their unique ability to estimate latent processes, cognitive models are increasingly applied throughout cognitive neuroscience and clinical psychology. Despite their theoretical appeal and growing popularity, however, the field of cognitive modeling presents an often bewildering proliferation of ideas and techniques. Current applications appear idiosyncratic, and the state-of-the-art remains unclear. This lack of systematicity makes it difficult for researchers and practitioners to develop, understand, and apply important cognitive models.
This proposal outlines a unified program for the assessment and application of cognitive models. Based on the foundations of Bayesian inference, a Quantitative Development Team develops new generic methods to assess absolute and relative goodness-of-fit, explores efficient algorithms to estimate model parameters, and examines how the models can be applied to data from popular experimental designs. A Core Application Team focuses on three classes of cognitive models of particular impact: the drift decision models, the stop-signal race models, and the reinforcement learning models. These model classes are enriched by the construction of plausible parameter priors, the development of diagnostic experiments, the assessment of Bayes factors for hierarchical designs, and the model-averaged assessment of changes in parameters.
The proposed work aims to set a new standard for cognitive modeling. Practical relevance is enhanced by incorporating the techniques in JASP, a user-friendly statistical software package developed in my lab (jasp-stats.org). By adding the new techniques to JASP, the cognitive models and associated new methodology become available for students, researchers, and practitioners.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences biological sciences neurobiology cognitive neuroscience
- natural sciences mathematics applied mathematics statistics and probability bayesian statistics
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- social sciences psychology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-ADG - Advanced Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-ADG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.