Bounded Rationality in Sensorimotor Coordination

Thermodynamic fluctuation theorems govern human sensorimotor learning

Autori: Pedro Hack, Cecilia Lindig-Leon, Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Scientific Reports, Numero 20452322, 2022, ISSN 2045-2322
Editore: 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

Autori: Sonja Schach, Axel Lindner, Daniel A Braun
Pubblicato in: PLoS Computational Biology, Numero 1553734X, 2022, Pagina/e e1010585, ISSN 1553-734X
Editore: Public Library of Science
DOI: 10.1371/journal.pcbi.1010585

Hierarchically Structured Task-Agnostic Continual Learning

Autori: Heinke Hihn, Daniel A Braun
Pubblicato in: Machine Learning, Numero 08856125, 2022, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.48550/arxiv.2211.07725

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

Autori: Pedro Hack; Daniel A. Braun; Sebastian Gottwald
Pubblicato in: Theory and Decision, Numero 00405833, 2022, ISSN 0040-5833
Editore: 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

Autori: Pedro Hack, Sebastian Gottwald, Daniel A Braun
Pubblicato in: Entropy, Numero (accepted), 2022, ISSN 1099-4300
Editore: 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

Autori: Cecilia Lindig-León, Nehchal Kaur, Daniel A Braun
Pubblicato in: Frontiers in Neuroscience - Decision Neuroscience, Numero 1662453X, 2022, Pagina/e 906198, ISSN 1662-453X
Editore: Frontiers Media
DOI: 10.3389/fnins.2022.906198

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

Autori: Gerrit Schmid, Daniel A. Braun
Pubblicato in: Scientific Reports, Numero 10/1, 2020, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-020-64091-4

The two kinds of free energy and the Bayesian revolution

Autori: Sebastian Gottwald, Daniel A. Braun
Pubblicato in: PLOS Computational Biology, Numero 16/12, 2020, Pagina/e e1008420, ISSN 1553-7358
Editore: Public Library of Science
DOI: 10.1371/journal.pcbi.1008420

Representing preorders with injective monotones

Autori: Pedro Hack; Daniel A. Braun; Sebastian Gottwald
Pubblicato in: Theory and Decision, Numero 00405833, 2022, Pagina/e 663–690, ISSN 0040-5833
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11238-021-09861-w

Bounded rational response equilibria in human sensorimotor interactions

Autori: Cecilia Lindig-León, Gerrit Schmid, Danie A Braun
Pubblicato in: Proceedings of the Royal Society B, Numero 09628452, 2021, Pagina/e 20212094, ISSN 0962-8452
Editore: Royal Society of London
DOI: 10.1098/rspb.2021.2094

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

Autori: Jordi Grau-Moya, Matthias Krüger, Daniel Braun
Pubblicato in: Entropy, Numero 20/1, 2018, Pagina/e 1, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20010001

Quantifying Motor Task Performance by Bounded Rational Decision Theory

Autori: Sonja Schach, Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Frontiers in Neuroscience, Numero 12, 2018, Pagina/e 932, ISSN 1662-453X
Editore: Holtzbrinck Publishing Group
DOI: 10.3389/fnins.2018.00932

Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty

Autori: Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Entropy, Numero 21/4, 2019, Pagina/e 375, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e21040375

Systems of Bounded Rational Agents with Information-Theoretic Constraints

Autori: Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Neural Computation, Numero 31/2, 2019, Pagina/e 440-476, ISSN 0899-7667
Editore: MIT Press
DOI: 10.1162/neco_a_01153

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

Autori: Cecilia Lindig-León, Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Frontiers in Neuroscience, Numero 13, 2019, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2019.01230

Specialization in Hierarchical Learning Systems

Autori: Heinke Hihn, Daniel A. Braun
Pubblicato in: Neural Processing Letters, Numero 52/3, 2020, Pagina/e 2319-2352, ISSN 1370-4621
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11063-020-10351-3

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

Autori: Lindig‑León, Cecilia; Schmid, Gerrit; Braun, Daniel A.
Pubblicato in: Scientific Reports, Numero 20452322, 2021, Pagina/e 20779, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-99428-0

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

Autori: Thiam, Patrick; Hihn, Heinke; Braun, Daniel A.; Kestler, Hans A.; Schwenker, Friedhelm
Pubblicato in: Frontiers in Physiology, Numero 1664042X, 2021, ISSN 1664-042X
Editore: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.720464

Mixture-of-Variational-Experts for Continual Learning

Autori: Daniel A Braun, Heinke Hihn
Pubblicato in: ICLR Workshop on Agent Learning in Open-Endedness, 2022
Editore: International Conference on Learning Representations
DOI: 10.48550/arxiv.2110.12667

Bounded Rational Decision-Making with Adaptive Neural Network Priors

Autori: Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Pubblicato in: Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings, Numero 11081, 2018, Pagina/e 213-225, ISBN 978-3-319-99977-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-99978-4_17

Hierarchical state abstractions for decision-making problems with computational constraints

Autori: Daniel T. Larsson, Daniel Braun, Panagiotis Tsiotras
Pubblicato in: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Pagina/e 1138-1143, ISBN 978-1-5090-2873-3
Editore: IEEE
DOI: 10.1109/cdc.2017.8263809

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

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

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

Autori: Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Pagina/e 3677-3684, ISBN 978-1-7281-1398-2
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9029255

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

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

Hierarchical Expert Networks for Meta-Learning

Autori: Heinke Hihn, Daniel Braun
Pubblicato in: 4th ICML Workshop on Lifelong Machine Learning (2020), 2020
Editore: 4th ICML Workshop on Lifelong Machine Learning

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