Objective
In this proposal we aim to study the twin questions of a) how agents categorize decision problems (and in particular games) according to their similarity and b) how this categorization affects standard predictions in Game Theory. The most important contribution to the literature is that we endogenize the question of categorization, assuming that categorizations can be learned. Existing literature is characterized by making sometimes ad hoc assumptions on categorizations. Initial results have already shown that some of the key concepts used in Game Theory appear to be very fragile once the problem of categorization is introduced. We have also shown that many recent experimental results have a natural explanation in terms of learned categorizations. Possibly because of these results the research has already had quite some impact, reflected for example in a large number of seminar invitations. My personal background allows me to approach this issue in an interdisciplinary manner. Many cognitive scientists have been interested in the question of categorization and there are interesting applications even to Biology, in particular to the problem of genomic imprinting. Other applications in Economics concern bidding of firms in search or procurement auctions. Data from such applications can be used to test the theory. The project is executed at the Department of Economics at Maastricht University, in cooperation with an international group of top researchers working on closely related issues.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences economics and business economics
- natural sciences mathematics applied mathematics game theory
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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.
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.
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.
FP7-PEOPLE-IEF-2008
See other projects for this call
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.
Coordinator
6200 MD Maastricht
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.