The following table provides information about the project.
UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6
|Coordinator Country||France [FR]|
|Total cost||2˙784˙240 €|
|EC max contribution||2˙730˙241 € (98%)|
1. H2020-EU.1.2.2. (FET Proactive)
|Duration (year-month-day)||from 2015-01-01 to 2018-12-31|
Take a look of project's partnership.
|1||UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6||FR (PARIS)||coordinator||883˙650.00|
|2||UNIVERSIDADE DA CORUNA||ES (LA CORUNA)||participant||539˙998.00|
|3||ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS||FR (PARIS)||participant||512˙480.00|
|4||STICHTING VU||NL (AMSTERDAM)||participant||446˙693.00|
|5||THE UNIVERSITY OF EDINBURGH||UK (EDINBURGH)||participant||237˙096.00|
|6||QUEEN MARY UNIVERSITY OF LONDON||UK (LONDON)||participant||110˙323.00|
A holy grail in robotics and artificial intelligence is to design a machine that can accumulate adaptations on developmental time scales of months and years. From infancy through adult- hood, such a system must continually consolidate and bootstrap its knowledge, to ensure that the learned knowledge and skills are compositional, and organized into meaningful hierarchies. Consolidation of previous experience and knowledge appears to be one of the main purposes of sleep and dreams for humans, that serve to tidy the brain by removing excess information, to recombine concepts to improve information processing, and to consolidate memory. Our approach – Deferred Restructuring of Experience in Autonomous Machines (DREAM) – incorporates sleep and dream-like processes within a cognitive architecture. This enables an individual robot or groups of robots to consolidate their experience into more useful and generic formats, thus improving their future ability to learn and adapt. DREAM relies on Evo- lutionary Neurodynamic ensemble methods (Fernando et al, 2012 Frontiers in Comp Neuro; Bellas et al., IEEE-TAMD, 2010 ) as a unifying principle for discovery, optimization, re- structuring and consolidation of knowledge. This new paradigm will make the robot more autonomous in its acquisition, organization and use of knowledge and skills just as long as they comply with the satisfaction of pre-established basic motivations. DREAM will enable robots to cope with the complexity of being an information-processing entity in domains that are open-ended both in terms of space and time. It paves the way for a new generation of robots whose existence and purpose goes far beyond the mere execution of dull tasks.
Work performed, outcomes and results: advancements report(s)
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DREAM" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (email@example.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "DREAM" are provided by the European Opendata Portal: CORDIS opendata.
European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EPEEC)Read More
ASPIDE: exAScale ProgramIng models for extreme Data procEssingRead More
European eXtreme Data and Computing Initiative - 2Read More