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BRISC SIGNED

Bounded Rationality in Sensorimotor Coordination

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EC-Contrib. €

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Partnership

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 BRISC project word cloud

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

successes    flexible    explains    power    human    stream    brisc    zone    playing    blatantly    emergence    optimal    missing    degrees    biological    drawing    humans    takes    laboratory    bounded    decisive    intractable    perceptual    themselves    abstraction    hierarchical    optimum    navigating    behavior    machines    predictions    resource    framework    standard    allocation    simultaneously    football    speed    multiple    fundamental    ignore    outperformed    limited    actor    theoretical    structures    computational    effort    time    question    motor    link    scales    models    environments    despite    experimental    drives    capacity    disaster    symbolic    bayes    principles    learning    technological    mathematical    gathering    gold    world    organize    answering    individual    performance    understand    formed    intelligent    rational    potentially    deviate    uncertain    abstract    single    sensorimotor    search    autonomously    actors   

Project "BRISC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET ULM 

Organization address
address: HELMHOLTZSTRASSE 16
city: ULM
postcode: 89081
website: www.uni-ulm.de

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 Germany [DE]
 Project website https://www.uni-ulm.de/in/neuroinformatik/forschung/schwerpunkte/brisc/
 Total cost 1˙434˙250 €
 EC max contribution 1˙434˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET ULM DE (ULM) coordinator 1˙434˙250.00
2    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 0.00

Map

 Project objective

Despite their many successes and great computational power and speed, why are machines still so blatantly outperformed by humans in uncertain environments that require flexible sensorimotor behavior like playing football or navigating a disaster zone? Answering this question requires understanding the mathematical principles of biological sensorimotor control and learning. Over the recent years Bayes-optimal actor models have widely become the gold standard in the mathematical understanding of sensorimotor processing in well-controlled laboratory tasks. However, these models quickly become intractable for real-world problems because they ignore the computational effort required to search for the Bayes-optimum. What is therefore needed is a framework of sensorimotor processing that takes the limited information-processing capacity of bounded rational actors into account and that explains their robust real-world performance. It is the aim of BRISC to establish such a framework by drawing out theoretical predictions and gathering experimental evidence in human motor control, in particular to understand (i) how single bounded rational actors deviate from Bayes-optimal behavior in motor tasks, (ii) how multiple bounded rational actors organize themselves to solve motor tasks that no individual can solve by themselves and (iii) how this drives the emergence of hierarchical control structures that simultaneously process multiple degrees of abstraction at different time scales. Understanding how abstract concepts are formed autonomously from the sensorimotor stream based on resource allocation principles will establish an essential missing link between high-level symbolic and low-level perceptual processing. These advances will provide a decisive step towards a framework for robust and flexible sensorimotor processing, which is not only essential for understanding the fundamental principles of intelligent behavior, but it is also of potentially great technological value.

 Publications

year authors and title journal last update
List of publications.
2019 Heinke Hihn, Sebastian Gottwald, Daniel Braun
An Information-Theoretic On-Line Learning Principle for Specialization in Hierarchical Decision-Making Systems
published pages: , ISSN: , DOI:
2019 IEEE 58th Conference on Decision and Control (CDC) 2019-11-28
2019 Cecilia Lindig-León, Sebastian Gottwald, Daniel A. Braun
Analyzing Abstraction and Hierarchical Decision-Making in Absolute Identification by Information-Theoretic Bounded Rationality
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2019.01230
Frontiers in Neuroscience 13 2019-11-28
2018 Jordi Grau-Moya, Matthias Krüger, Daniel Braun
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments
published pages: 1, ISSN: 1099-4300, DOI: 10.3390/e20010001
Entropy 20/1 2019-07-08
2019 Sebastian Gottwald, Daniel A. Braun
Systems of Bounded Rational Agents with Information-Theoretic Constraints
published pages: 440-476, ISSN: 0899-7667, DOI: 10.1162/neco_a_01153
Neural Computation 31/2 2019-06-06
2019 Sebastian Gottwald, Daniel A. Braun
Bounded Rational Decision-Making from ElementaryComputations That Reduce Uncertainty
published pages: 375, ISSN: 1099-4300, DOI: 10.3390/e21040375
Entropy 21/4 2019-06-06
2018 Sonja Schach, Sebastian Gottwald, Daniel A. Braun
Quantifying Motor Task Performance by Bounded Rational Decision Theory
published pages: 932, ISSN: 1662-453X, DOI: 10.3389/fnins.2018.00932
Frontiers in Neuroscience 12 2019-06-06

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

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