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BRISC SIGNED

Bounded Rationality in Sensorimotor Coordination

Total Cost €

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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.

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

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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