Objective
Human adults appear different from other animals by their ability to use language to communicate, their use of logic and mathematics to reason, and their ability to abstract relations that go beyond perceptual similarity. These aspects of human cognition have one important thing in common: they are all thought to be based on rules. This apparent uniqueness of human adult cognition leads to an immediate puzzle: WHEN and HOW does this rule-based system come into being? Perhaps there is, in fact, continuit y between the cognitive processes of non-linguistic species and pre-linguistic children on the one hand, and human adults on the other hand. Perhaps, this transition is simply a mirage that arises from the fact that Language and Formal Reasoning are usua lly described by reference to systems based on rules (e.g. grammar or syllogisms). To overcome this problem, we propose to study the transition from associative to rule-based cognition within the domain of concept learning. Concepts are the primary cog nitive means by which we organise things in the world. Any species that lacked this ability would quickly become extinct (Ashby & Lee, 1993). Conversely, differences in the way that concepts are formed may go a long way in explaining the greater evolu tionary success that some species have had over others. To address these issues, this project brings together 5 teams of leading international researchers from 4 different countries, and with combined and convergent experience in Animal Cognition and Evo lutionary Theory, Infant and Child Development, Adult Concept Learning, Neuroimaging, Social Psychology, Neural Network Modelling, and Statistical Modelling.
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.
- social sciences psychology social psychology
- natural sciences mathematics
- social sciences psychology cognitive psychology
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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.
FP6-2003-NEST-PATH
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
LONDON
United Kingdom
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.