Bounded Rationality in Sensorimotor Coordination

Project Information

BRISC

Grant agreement ID: 678082

DOI

10.3030/678082

Project closed

EC signature date 11 April 2016

Start date 1 October 2016

End date 30 September 2022

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 434 250,00

EU contribution

€ 1 434 250,00

Coordinated by

UNIVERSITAET ULM
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (18)

Thermodynamic fluctuation theorems govern human sensorimotor learning

Author(s): Pedro Hack, Cecilia Lindig-Leon, Sebastian Gottwald, Daniel A. Braun
Published in: Scientific Reports, Issue 20452322, 2022, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.48550/arxiv.2209.00941

Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex

Author(s): Sonja Schach, Axel Lindner, Daniel A Braun
Published in: PLoS Computational Biology, Issue 1553734X, 2022, Page(s) e1010585, ISSN 1553-734X
Publisher: Public Library of Science
DOI: 10.1371/journal.pcbi.1010585

Hierarchically Structured Task-Agnostic Continual Learning

Author(s): Heinke Hihn, Daniel A Braun
Published in: Machine Learning, Issue 08856125, 2022, ISSN 0885-6125
Publisher: Kluwer Academic Publishers
DOI: 10.48550/arxiv.2211.07725

The classification of preordered spaces in terms of monotones: complexity and optimization

Author(s): Pedro Hack; Daniel A. Braun; Sebastian Gottwald
Published in: Theory and Decision, Issue 00405833, 2022, ISSN 0040-5833
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11238-022-09904-w

Jarzyski’s Equality and Crooks’ Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems

Author(s): Pedro Hack, Sebastian Gottwald, Daniel A Braun
Published in: Entropy, Issue (accepted), 2022, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

From Bayes-optimal to heuristic decision-making in a two-alternative forced choice task with an information-theoretic bounded rationality model

Author(s): Cecilia Lindig-León, Nehchal Kaur, Daniel A Braun
Published in: Frontiers in Neuroscience - Decision Neuroscience, Issue 16, 2022, Page(s) 906198, ISSN 1662-453X
Publisher: Frontiers Media
DOI: 10.3389/fnins.2022.906198

Human group coordination in a sensorimotor task with neuron-like decision-making

Author(s): Gerrit Schmid, Daniel A. Braun
Published in: Scientific Reports, Issue 10/1, 2020, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-020-64091-4

The two kinds of free energy and the Bayesian revolution

Author(s): Sebastian Gottwald, Daniel A. Braun
Published in: PLOS Computational Biology, Issue 16/12, 2020, Page(s) e1008420, ISSN 1553-7358
Publisher: Public Library of Science
DOI: 10.1371/journal.pcbi.1008420

Representing preorders with injective monotones

Author(s): Pedro Hack; Daniel A. Braun; Sebastian Gottwald
Published in: Theory and Decision, Issue 00405833, 2022, Page(s) 663–690, ISSN 0040-5833
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11238-021-09861-w

Bounded rational response equilibria in human sensorimotor interactions

Author(s): Cecilia Lindig-León, Gerrit Schmid, Danie A Braun
Published in: Proceedings of the Royal Society B, Issue 288, 2021, Page(s) 20212094, ISSN 0962-8452
Publisher: Royal Society of London
DOI: 10.1098/rspb.2021.2094

Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments

Author(s): Jordi Grau-Moya, Matthias Krüger, Daniel Braun
Published in: Entropy, Issue 20/1, 2018, Page(s) 1, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20010001

Quantifying Motor Task Performance by Bounded Rational Decision Theory

Author(s): Sonja Schach, Sebastian Gottwald, Daniel A. Braun
Published in: Frontiers in Neuroscience, Issue 12, 2018, Page(s) 932, ISSN 1662-453X
Publisher: Holtzbrinck Publishing Group
DOI: 10.3389/fnins.2018.00932

Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty

Author(s): Sebastian Gottwald, Daniel A. Braun
Published in: Entropy, Issue 21/4, 2019, Page(s) 375, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e21040375

Systems of Bounded Rational Agents with Information-Theoretic Constraints

Author(s): Sebastian Gottwald, Daniel A. Braun
Published in: Neural Computation, Issue 31/2, 2019, Page(s) 440-476, ISSN 0899-7667
Publisher: MIT Press
DOI: 10.1162/neco_a_01153

Analyzing Abstraction and Hierarchical Decision-Making in Absolute Identification by Information-Theoretic Bounded Rationality

Author(s): Cecilia Lindig-León, Sebastian Gottwald, Daniel A. Braun
Published in: Frontiers in Neuroscience, Issue 13, 2019, ISSN 1662-453X
Publisher: Frontiers Media SA
DOI: 10.3389/fnins.2019.01230

Specialization in Hierarchical Learning Systems

Author(s): Heinke Hihn, Daniel A. Braun
Published in: Neural Processing Letters, Issue 52/3, 2020, Page(s) 2319-2352, ISSN 1370-4621
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11063-020-10351-3

Nash equilibria in human sensorimotor interactions explained by Q‑learning with intrinsic costs

Author(s): Lindig‑León, Cecilia; Schmid, Gerrit; Braun, Daniel A.
Published in: Scientific Reports, Issue 11, 2021, Page(s) 20779, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-021-99428-0

Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective

Author(s): Thiam, Patrick; Hihn, Heinke; Braun, Daniel A.; Kestler, Hans A.; Schwenker, Friedhelm
Published in: Frontiers in Physiology, Issue 1664042X, 2021, ISSN 1664-042X
Publisher: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.720464

Book chapters (2)

Mixture-of-Variational-Experts for Continual Learning

Author(s): Daniel A Braun, Heinke Hihn
Published in: ICLR Workshop on Agent Learning in Open-Endedness, 2022
Publisher: International Conference on Learning Representations
DOI: 10.48550/arxiv.2110.12667

Bounded Rational Decision-Making with Adaptive Neural Network Priors

Author(s): Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Published in: Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings, Issue 11081, 2018, Page(s) 213-225, ISBN 978-3-319-99977-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-99978-4_17

Conference proceedings (5)

Hierarchical state abstractions for decision-making problems with computational constraints

Author(s): Daniel T. Larsson, Daniel Braun, Panagiotis Tsiotras
Published in: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Page(s) 1138-1143, ISBN 978-1-5090-2873-3
Publisher: IEEE
DOI: 10.1109/cdc.2017.8263809

An information-theoretic on-line update principle for perception-action coupling

Author(s): Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
Published in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, Page(s) 789-796, ISBN 978-1-5386-2682-5
Publisher: IEEE
DOI: 10.1109/iros.2017.8202240

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems

Author(s): Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Published in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Page(s) 3677-3684, ISBN 978-1-7281-1398-2
Publisher: IEEE
DOI: 10.1109/cdc40024.2019.9029255

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts

Author(s): Peter Bellmann; Heinke Hihn; Daniel Braun; Friedhelm Schwenker
Published in: Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART), 2021, Page(s) 724-731, ISBN 978-989-758-484-8
Publisher: SciTePress
DOI: 10.5220/0010236307240731

Hierarchical Expert Networks for Meta-Learning

Author(s): Heinke Hihn, Daniel Braun
Published in: 4th ICML Workshop on Lifelong Machine Learning (2020), 2020
Publisher: 4th ICML Workshop on Lifelong Machine Learning