Project description
Challenging current Thinking
Despite eminent and numerous attempts to understand complex thinking, insight problem solving and language acquisition, one is left with the feeling that an essential component of these processes is being overlooked. This project offers and elaborates the Neural Replicator Hypothesis (NRH) stating that this missing ingredient is true Darwinian neurodynamics of replicators within the brain itself. Previous related approaches have been either sketchy, metaphorical, merely philosophical, or have used selection but not replication. INSIGHT is based on, and will refine, plausible neurobiological foundations of neuronal replicators despite the fact that neurons do not reproduce. It will show that Darwinian neurodynamics offers a credible and efficient algorithm for approximate Bayesian inference in the brain. The project will investigate the NRH in three ways: (1) The hypothesis will be worked out rigorously using formal models and computer simulations, (2) Its empirical relevance will be tested both from the viewpoint of neurophysiology using cell cultures, and from the viewpoint of human psychology using psychological experiments and neuroimaging. (3) Its ICT application potential is tested for two critical domains: robotics and language communication. Robotics work will test whether Darwinian neurodynamic controllers can be constructed that allow robots to engage in open-ended creative autonomous exploration.
Language processing research will test whether detailed models of language learning that are based on a replicator dynamics of grammatical constructions is effective for explaining and synthesizing creative linguistic performance.
Despite eminent and numerous attempts to understand complex thinking, insight problem solving and language acquisition, one is left with the feeling that an essential component of these processes is being overlooked. This project offers and elaborates the Neural Replicator Hypothesis (NRH) stating that this missing ingredient is true Darwinian neurodynamics of replicators within the brain itself. Previous related approaches have been either sketchy, metaphorical, merely philosophical, or have used selection but not replication. INSIGHT is based on, and will refine, plausible neurobiological foundations of neuronal replicators despite the fact that neurons do not reproduce. It will show that Darwinian neurodynamics offers a credible and efficient algorithm for approximate Bayesian inference in the brain. The project will investigate the NRH in three ways: (1) The hypothesis will be worked out rigorously using formal models and computer simulations, (2) Its empirical relevance will be tested both from the viewpoint of neurophysiology using cell cultures, and from the viewpoint of human psychology using psychological experiments and neuroimaging. (3) Its ICT application potential is tested for two critical domains: robotics and language communication. Robotics work will test whether Darwinian neurodynamic controllers can be constructed that allow robots to engage in open-ended creative autonomous exploration. Language processing research will test whether detailed models of language learning that are based on a replicator dynamics of grammatical constructions is effective for explaining and synthesizing creative linguistic performance.
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.
- natural sciences mathematics applied mathematics statistics and probability bayesian statistics
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- social sciences psychology psycholinguistics
- natural sciences mathematics applied mathematics mathematical model
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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.
FP7-ICT-2011-C
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
82343 Pocking
Germany
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.