Objective
The analogy-based expectation equilibrium (Jehiel, 2005) has been introduced to cope with strategic environments in which agents form their expectations by bundling data that come from different sources (see also the valuation equilibrium defined in Jehiel and Samet, 2007). An essential next step is to make progress on when and how subjects bundle data to facilitate learning. Various principles are proposed to discipline the choices of analogy partitions in ABEE and of similarity classes in VE: the observation-based principle views the bundling as a consequence of a lack of accessibility to missing information in past interactions, the psychologically-based principle views categorizations as the consequence of observed similarity in early interactions, the culturally-based principle views the bundling of actions into similarity classes either as a consequence of a common labelling of actions or as a consequence of ethical considerations that lead us to think of different actions as having similar consequences. The impact of such principles will be studied both theoretically and experimentally with the goals of explaining a number of new phenomena and shifting the conventional wisdom in behavioural economics that has pointed out a number of anomalies in behaviors without systematically relating them to imperfections in the learning process. In addition, I will be concerned with the aggregation of different types of feedback such as data on one own performance or data on others’ attitudes in multi-context environments, as well as putting the proposed approach of learning through categories in the broader perspective of the literature on bounded rationality
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.
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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
See all projects funded under this callHost institution
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.
75014 Paris
France
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.