The emergence of understanding from the combination of innate mechanisms and visual experience


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 Nazionalità Coordinatore Israel [IL]
 Totale costo 1˙647˙175 €
 EC contributo 1˙647˙175 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2010-AdG_20100407
 Funding Scheme ERC-AG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-06-01   -   2016-05-31


# participant  country  role  EC contrib. [€] 

 Organization address address: HERZL STREET 234
postcode: 7610001

contact info
Titolo: Ms.
Nome: Gabi
Cognome: Bernstein
Email: send email
Telefono: 97289346728
Fax: 97289344165

IL (REHOVOT) hostInstitution 1˙647˙175.00

 Organization address address: HERZL STREET 234
postcode: 7610001

contact info
Titolo: Prof.
Nome: Shimon
Cognome: Ullman
Email: send email
Telefono: +972 523416213
Fax: 97289342945

IL (REHOVOT) hostInstitution 1˙647˙175.00


 Word cloud

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loop    perceptual    actions    world    internal    interpretation    cognitive    mechanisms    perception    modeling    computational    innate   

 Obiettivo del progetto (Objective)

'The goal of this research initiative is to construct large-scale computational modeling of how knowledge of the world emerges from the combination of innate mechanisms and visual experience. The ultimate goal is a ‘digital baby’ model which, through perception and interaction with the world, develops on its own representations of complex concepts that allow it to understand the world around it, in terms of objects, object categories, events, agents, actions, goals, social interactions, etc. A wealth of empirical research in the cognitive sciences have studied how natural concepts in these domains are acquired spontaneously and efficiently from perceptual experience, but a major open challenge is an understating of the processes and computations involved by rigorous testable models. To deal with this challenge we propose a novel methodology based on two components. The first, ‘computational Nativism’, is a computational theory of cognitively and biologically plausible innate structures , which guide the system along specific paths through its acquisition of knowledge, to continuously acquire meaningful concepts, which can be significant to the observer, but statistically inconspicuous in the sensory input. The second, ‘embedded interpretation’ is a new way of acquiring extended learning and interpretation processes. This is obtained by placing perceptual inference mechanisms within a broader perception-action loop, where the actions in the loop are not overt actions, but internal operation over internal representation. The results will provide new modeling and understanding of the age-old problem of how innate mechanisms and perception are combined in human cognition, and may lay foundation for a major research direction dealing with computational cognitive development.'

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