Martin Biehl
Martin Biehl
Araya Inc.
Verified email at araya.org
Title
Cited by
Cited by
Year
Interaction learning for dynamic movement primitives used in cooperative robotic tasks
T Kulvicius, M Biehl, MJ Aein, M Tamosiunaite, F Wörgötter
Robotics and Autonomous Systems 61 (12), 1450-1459, 2013
402013
A strategy for origins of life research
C Scharf, N Virgo, HJ Cleaves, M Aono, N Aubert-Kato, A Aydinoglu, ...
Astrobiology 15 (12), 1031-1042, 2015
342015
Expanding the active inference landscape: More intrinsic motivations in the perception-action loop
M Biehl, C Guckelsberger, C Salge, SC Smith, D Polani
Frontiers in neurorobotics 12, 45, 2018
122018
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems
M Biehl, T Ikegami, D Polani
Proceedings of the Artificial Life Conference 2016, 722, 2016
11*2016
Modular robot control environment testing neural control on simulated and real robots
F Hesse, G Martius, P Manoonpong, M Biehl, F Wörgötter
Frontiers in Computational Neuroscience, Conference Abstract: Bernstein …, 2012
82012
Information generation as a functional basis of consciousness
R Kanai, A Chang, Y Yu, I Magrans de Abril, M Biehl, N Guttenberg
Neuroscience of Consciousness 2019 (1), niz016, 2019
62019
Information closure theory of consciousness
AYC Chang, M Biehl, Y Yu, R Kanai
arXiv preprint arXiv:1909.13045, 2019
52019
Formal approaches to a definition of agents
M Biehl
arXiv preprint arXiv:1704.02716, 2017
32017
A technical critique of the free energy principle as presented in" Life as we know it" and related works
M Biehl, FA Pollock, R Kanai
arXiv, arXiv: 2001.06408, 2020
22020
Action and perception for spatiotemporal patterns
M Biehl, D Polani
14th European Conference on Artificial Life 2017 14, 68-75, 2017
22017
Learning body-affordances to simplify action spaces
N Guttenberg, M Biehl, R Kanai
arXiv preprint arXiv:1708.04391, 2017
22017
Specific and complete local integration of patterns in Bayesian networks
M Biehl, T Ikegami, D Polani
Entropy 19 (5), 230, 2017
22017
Geometry of Friston's active inference
M Biehl
arXiv preprint arXiv:1811.08241, 2018
12018
Free energy, empowerment, and predictive information compared
M Biehl, C Guckelsberger, C Salge, SC Smith, D Polani
The Ninth International Conference on Guided Self-Organisation (GSO-2018 …, 2018
12018
A technical critique of the free energy principle as presented in" Life as we know it"
M Biehl, FA Pollock, R Kanai
arXiv preprint arXiv:2001.06408, 2020
2020
Being curious about the answers to questions: novelty search with learned attention
N Guttenberg, M Biehl, N Virgo, R Kanai
Artificial Life Conference Proceedings, 518-525, 2018
2018
Reviewers for Volume 24
C Adami, E Akcay, E Agmon, W Banzhaf, S Bartlett, M Biehl, M Blute, ...
Artificial Life 24 (329), 2018
2018
Reviewers for Volume 23
A Adamatsky, C Adami, E Agmon, T Andersen, C Andersson, T Arita, ...
Artificial Life 23 (558), 2017
2017
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks
N Guttenberg, M Biehl, R Kanai
arXiv:1609.00116 [cs.AI], 2016
2016
Apparent actions and apparent goal-directedness
M Biehl, D Polani
Proceedings of the European Conference on Artificial Life 2015 (ECAL 2015 …, 2015
2015
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Articles 1–20