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DREAM

Deferred Restructuring of Experience in Autonomous Machines

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

DREAM project word cloud

Explore the words cloud of the DREAM project. It provides you a very rough idea of what is the project "DREAM" about.

adapt hood artificial purposes complexity memory acquisition brain individual dream et removing accumulate dull skills excess frontiers robots paves mere generation cognitive consolidate infancy continually paradigm purpose bootstrap al goes tidy scales time evo months basic entity learned consolidation ended existence robot discovery neurodynamic motivations re domains machines holy unifying autonomous formats ensemble satisfaction structuring 2010 2012 neuro adult organization architecture deferred machine relies serve ieee humans fernando grail groups space bellas intelligence adaptations dreams recombine restructuring developmental lutionary incorporates appears comply robotics cope tamd compositional optimization sleep comp hierarchies

Project "DREAM" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 There are not information about this coordinator. Please contact Fabio for more information, thanks.
Coordinator Country	France [FR]
Project website	http://www.robotsthatdream.eu/
Total cost	2˙784˙240 €
EC max contribution	2˙730˙241 € (98%)
Programme	1. H2020-EU.1.2.2. (FET Proactive)
Code Call	H2020-FETPROACT-2014
Funding Scheme	RIA
Starting year	2015
Duration (year-month-day)	from 2015-01-01 to 2018-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	SORBONNE UNIVERSITE SORBONNE UNIVERSITE Organization address address: 21 RUE DE L'ECOLE DE MEDECINE city: PARIS postcode: 75006 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	coordinator	883˙650.00
2	UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 Organization address address: Place Jussieu 4 city: PARIS postcode: 75252 website: www.upmc.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	coordinator	0.00
3	UNIVERSIDADE DA CORUNA UNIVERSIDADE DA CORUNA Organization address address: CALLE DE LA MAESTRANZA 9 city: LA CORUNA postcode: 15001 website: http://www.udc.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (LA CORUNA)	participant	539˙998.00
4	ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS Organization address address: BOULEVARD SAINT MICHEL 60 city: PARIS postcode: 75272 website: www.armines.net contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	participant	512˙480.00
5	STICHTING VU STICHTING VU Organization address address: DE BOELELAAN 1105 city: AMSTERDAM postcode: 1081 HV website: www.vu.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (AMSTERDAM)	participant	446˙693.00
6	THE UNIVERSITY OF EDINBURGH THE UNIVERSITY OF EDINBURGH Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL website: www.ed.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (EDINBURGH)	participant	237˙096.00
7	QUEEN MARY UNIVERSITY OF LONDON QUEEN MARY UNIVERSITY OF LONDON Organization address address: 327 MILE END ROAD city: LONDON postcode: E1 4NS website: http://www.qmul.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	participant	110˙323.00

Map

Project objective

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.

Deliverables

List of deliverables.
DREAM module WP1	Other	2019-11-20 14:22:49
Publication 3 WP4	Documents, reports	2019-11-20 14:22:49
Publication 2 WP5	Documents, reports	2019-11-20 14:22:48
Publication 3 WP1	Documents, reports	2019-11-20 14:22:48
Open Research Data Pilot	Open Research Data Pilot	2019-11-20 14:22:49
Publication WP6	Documents, reports	2019-11-20 14:22:48
Publication 2 WP3	Documents, reports	2019-11-20 14:22:48
Data management plan, v3	Documents, reports	2019-11-20 14:22:49
Complete DREAM dem.	Demonstrators, pilots, prototypes	2019-11-20 14:22:48
Publication 2 WP4	Documents, reports	2019-11-20 14:22:48
Publication 3 WP5	Documents, reports	2019-11-20 14:22:49
Publication 3 WP3	Documents, reports	2019-11-20 14:22:49
Publication 3 WP2	Documents, reports	2019-11-20 14:22:48
DREAM Module WP3	Other	2019-11-20 14:22:48
DREAM v1	Other	2019-11-20 14:22:48
Data management plan, v2	Documents, reports	2019-11-20 14:22:48
Publication 2 WP2	Documents, reports	2019-11-20 14:22:47
Publication 2 WP1	Documents, reports	2019-11-20 14:22:47
DREAM Module WP4	Other	2019-11-20 14:22:47
DREAM Module WP2	Other	2019-11-20 14:22:48
Publication 1 WP3	Documents, reports	2019-11-20 14:22:48
Publication 1 WP4	Documents, reports	2019-11-20 14:22:48
Publication 1 WP5	Documents, reports	2019-11-20 14:22:48
Publication 1 WP2	Documents, reports	2019-11-20 14:22:45
Publication 1 WP1	Documents, reports	2019-11-20 14:22:45
Experimental protocol	Documents, reports	2019-11-20 14:22:45
CAFER Release	Other	2019-11-20 14:22:45
Data management plan, v1	Documents, reports	2019-11-20 14:22:45
DREAM web site	Websites, patent fillings, videos etc.	2019-11-20 14:22:45

Take a look to the deliverables list in detail: detailed list of DREAM deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2017	Y. Yang, Y. Zheng, T. M. Hospedales Gated Neural Networks for Option Pricing: Rationality by Design published pages: , ISSN: , DOI:	AAAI Conference on Artificial Intelligence	2019-11-20
2017	Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E. Can Social Learning Increase Learning Speed, Performance or Both? published pages: , ISSN: , DOI:	Proceedings of the European Conference on Artificial Life	2019-11-20
2016	Arthur Bernard, Jean-Baptiste AndrÃ©, Nicolas Bredeche To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter published pages: e1004886, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1004886	PLOS Computational Biology 12/5	2019-11-20
2016	Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche Behavioral Specialization in Embodied Evolutionary Robotics: Why So Difficult? published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2016.00038	Frontiers in Robotics and AI 3	2019-11-20
2018	Richard J. Duro, Jose A. Becerra, Juan Monroy, Francisco Bellas Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition published pages: 1850053, ISSN: 0129-0657, DOI: 10.1142/S0129065718500533	International Journal of Neural Systems	2019-11-20
2016	Olivier Sigaud, Alain Droniou Towards Deep Developmental Learning published pages: 99-114, ISSN: 2379-8920, DOI: 10.1109/TAMD.2015.2496248	IEEE Transactions on Cognitive and Developmental Systems 8/2	2019-11-20
2016	P. Caama?o, R. Salgado, F. Bellas, R. J. Duro Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics published pages: 479-504, ISSN: 1370-4621, DOI: 10.1007/s11063-015-9426-5	Neural Processing Letters 43/2	2019-11-20
2015	Legoff, L. and Maestre, C. and Doncieux, S. Visual saliency-based babbling of unknown dynamic environments (extended abstract) published pages: , ISSN: , DOI:	Learning Object Affordances Workshop, IROS 2015	2019-11-20
2017	Matthieu Zimmer, Stephane Doncieux Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results published pages: 1-1, ISSN: 2379-8920, DOI: 10.1109/TCDS.2016.2628817	IEEE Transactions on Cognitive and Developmental Systems	2019-11-20
2017	Jacqueline Heinerman, Evert Haasdijk, A.E. Eiben Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams published pages: , ISSN: 0925-2312, DOI: 10.1016/j.neucom.2017.02.090	Neurocomputing	2019-11-20
2017	Heinerman, J., Stork, J., Rebolledo, M., Hubert, J., Eiben, A.E., Bartz-Beielstein, T., Haasdijk, E. Is Social Learning More Than Parameter Tuning? published pages: , ISSN: , DOI: 10.1145/3067695.3076059	Proceedings of the 18th annual conference on Genetic and evolutionary computation	2019-11-20
2017	F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. FaiÃ±a, R.J. Duro The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications published pages: , ISSN: , DOI:	Proceedings 8th International Conference on Robotics in Education (RIE 2017)	2019-11-20
2016	R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain published pages: 1-11, ISSN: 2212-683X, DOI: 10.1016/j.bica.2016.07.003	Biologically Inspired Cognitive Architectures 17	2019-11-20
2017	Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory published pages: 22-31, ISSN: , DOI: 10.1007/978-3-319-59740-9_3		2019-11-20
2017	P. Trueba, A. Prieto, F. Bellas Embodied Evolution versus Cooperative Coevolution in Multi-Robot Optimization: a practical comparison published pages: , ISSN: , DOI:	Proceedings GECCO 2017	2019-11-20
2016	Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy Sketch Me That Shoe published pages: 799-807, ISSN: , DOI:	The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	2019-11-20
2015	Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli Contextual modulation of value signals in reward and punishment learning published pages: 8096, ISSN: 2041-1723, DOI: 10.1038/ncomms9096	Nature Communications 6	2019-11-20
2016	Yun Zhou, Timothy M. Hospedales, Norman Fenton When and where to transfer for Bayesian network parameter learning published pages: 361-373, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2016.02.011	Expert Systems with Applications 55	2019-11-20
2015	Freek Stulp, Olivier Sigaud Many regression algorithms, one unified model: A review published pages: 60-79, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2015.05.005	Neural Networks 69	2019-11-20
2016	Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben On-line Evolution of Foraging Behaviour in a Population of Real Robots published pages: 198-212, ISSN: , DOI: 10.1007/978-3-319-31153-1_14	Applications of Evolutionary Computation	2019-11-20
2017	Evert Haasdijk, Jacqueline Heinerman Quantifying Selection Pressure published pages: , ISSN: 1063-6560, DOI: 10.1162/EVCO_a_00207	Evolutionary Computation	2019-11-20
2015	Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Agoston E. (Gusz) Eiben Evolutionary Robotics: What, Why, and Where to published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2015.00004	Frontiers in Robotics and AI 2	2019-11-20
2015	Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints published pages: 972-981, ISSN: , DOI:	Uncertainty in Artificial Intelligence	2019-11-20
2017	Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro Motivational Engine for Cognitive Robotics in Non-Static Tasks published pages: 32-42, ISSN: , DOI: 10.1007/978-3-319-59740-9_4	Lecture Notes in Computer Science 10337	2019-11-20
2016	Rodrigo Salgado, Abraham Prieto, Pilar Caama?o, Francisco Bellas, Richard J. Duro Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics published pages: 659-670, ISSN: , DOI: 10.1007/978-3-319-32034-2_55	Lecture Notes in Computer Science 9648	2019-11-20
2017	YANG, Yongxin et HOSPEDALES, Timothy Deep Multi-task Representation Learning: A Tensor Factorisation Approach published pages: , ISSN: , DOI:	Proceedings of ICLR	2019-11-20
2017	P. Caama?o, G. Varela, R.J. Duro An evolutionary approach to constrained sampling optimization problems published pages: 266-279, ISSN: 1568-4946, DOI: 10.1016/j.asoc.2016.12.002	Applied Soft Computing 51	2019-11-20
2017	C. Zhao, T. Hospedales, F. Stulp, O. Sigaud Tensor Based Knowledge Transfer Across Skill Categories for Robot Control published pages: , ISSN: , DOI:	Proceedings of IJCAI 2017	2019-11-20
2015	Ecarlat, P. and Cully, A. and Maestre, C. and Doncieux, S. Learning a high diversity of object manipulations though an evolutionary-based babbling (extended abstract) published pages: , ISSN: , DOI:	Learning Object Affordances Workshop, IROS 2015	2019-11-20
2015	G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition published pages: , ISSN: , DOI:	ICCV Workshop ChaLearn Looking at People	2019-11-20
2016	Abraham Prieto, F. Bellas, P. Trueba, R.J. Duro Real-time optimization of dynamic problems through distributed Embodied Evolution published pages: 237-253, ISSN: 1069-2509, DOI: 10.3233/ICA-160522	Integrated Computer-Aided Engineering 23/3	2019-11-20

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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

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The information about "DREAM" are provided by the European Opendata Portal: CORDIS opendata.