Opendata, web and dolomites

MetaBot SIGNED

Robotic embodiment of a meta-learning neural model of human decision-making

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "MetaBot" data sheet

The following table provides information about the project.

Coordinator
CONSIGLIO NAZIONALE DELLE RICERCHE 

Organization address
address: PIAZZALE ALDO MORO 7
city: ROMA
postcode: 185
website: www.cnr.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 168˙277 €
 EC max contribution 168˙277 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) coordinator 168˙277.00

Map

 Project objective

The combination of empirical testing with computational modeling is the most promising path in neuroscience of decision-making. Nonetheless, neuro-computational models of decision-making are still affected by two main limitations. First, computer simulations, typically used for testing neural models, represent the environment in a very simplistic way, exposing the computational models to “toy problems”. Second, computational neuroscience often neglects that bodily processes do not simply “execute” what is decided centrally, but are part of cognitive processing itself (embodied cognition). The main goal of this project is to solve these two limitations and to open a new path in cognitive and computational neuroscience of decision-making. We plan the embodiment in a humanoid robotic platform (iCub) of a novel neuro-computational model, representing the state of the art in modeling neurobiology of decision-making. This neural model, the Reinforcement Meta-Learner (RML), generates emergent (i.e., homunculus-free) cognitive control signals and supports learning to solve complex decision problems by self-regulating its internal parameters (meta-learning). In simplified and disembodied computer simulations, the RML already revealed to be exceptionally successful in explaining many different experimental data sets (both neural and behavioural) from different domains. The RML embodiment would represent one of the few cases where a neural model, born completely in the domain of cognitive neuroscience, would be embodied in a humanoid robot. The fusion of cognitive neuroscience and humanoid robotics will allow to investigate the role of embodiment in decision-making in real world problems (contribution to neuroscience), and it also would represent a unique opportunity to test the effectiveness of the RML to be a new way for developing genuinely autonomous decision-making in robots (contribution to robotics).

 Deliverables

List of deliverables.
Deliverable for WP 5 Documents, reports 2020-04-02 20:42:52
Deliverable2 for WP3 Documents, reports 2020-04-02 09:08:13
Deliverable2 for WP4 Documents, reports 2020-04-02 09:08:25
deliverable for WP4 Documents, reports 2020-04-02 09:08:19

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "METABOT" 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 (fabio@fabiodisconzi.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 "METABOT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

NeoPur (2019)

New treatments and novel diagnostic tests for neonatal seizures based on purinergic signaling.

Read More  

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More  

MarshFlux (2020)

The effect of future global climate and land-use change on greenhouse gas fluxes and microbial processes in salt marshes

Read More