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Martin Biehl
Observed names:
Biehl, Martin,
Biehl, Martin Andreas,
M Biehl
Institution:
Cross Compass (Japan)
Observed institutions:
Miltenyi Biotec (Germany),
University of Hertfordshire,
University of Strathclyde,
University of Würzburg,
Cross Compass (Japan),
Araya Inc. (Japan),
The University of Tokyo
show all 7
ORCID:
0000-0002-1670-6855
Observed ORCID:
0000-0002-1670-6855
OpenAlex ID:
A5068164344
Information generation as a functional basis of consciousness
2019
·
Ryota Kanai
, Acer Chang
, et al.
·
Neuroscience of Consciousness
·
81
PDF
Information Closure Theory of Consciousness
2020
·
Acer Y. C. Chang
, Martin Biehl
, et al.
·
Frontiers in Psychology
·
69
PDF
A Strategy for Origins of Life Research
2015
·
Caleb Scharf
, Nathaniel Virgo
, et al.
·
Astrobiology
·
67
PDF
A Technical Critique of Some Parts of the Free Energy Principle
2021
·
Martin Biehl
, Felix A. Pollock
, et al.
·
Entropy
·
59
PDF
Interaction learning for dynamic movement primitives used in cooperative robotic tasks
2013
·
Tomas Kulvicius
, Martin Biehl
, et al.
·
Robotics and Autonomous Systems
·
57
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
2018
·
Martin Biehl
, Christian Guckelsberger
, et al.
·
Frontiers in Neurorobotics
·
29
PDF
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems
2016
·
Martin Biehl
, Takashi Ikegami
, et al.
·
Conference on Artificial Life (ALIFE)
·
26
PDF
Causal Blankets: Theory and Algorithmic Framework
2020
·
Fernando E. Rosas
, Pedro A. M. Mediano
, et al.
·
Communications in computer and information science
·
14
PDF
A “Good Regulator Theorem” for Embodied Agents
2025
·
Nathaniel Virgo
, Martin Biehl
, et al.
·
ALIFE
·
10
PDF
A technical critique of the free energy principle as presented in "Life as we know it" and related works
2020
·
Martin Biehl
, Felix A. Pollock
, et al.
·
arXiv (Cornell University)
·
9
Interpreting Systems as Solving POMDPs: A Step Towards a Formal Understanding of Agency
2023
·
Martin Biehl
, Nathaniel Virgo
·
Communications in computer and information science
·
8
PDF
A Bayesian Interpretation of the Internal Model Principle
2025
·
Baltieri, Manuel
, Biehl, Martin
, et al.
·
arXiv (Cornell University)
·
7
PDF
Interpreting Dynamical Systems as Bayesian Reasoners
2021
·
Nathaniel Virgo
, Martin Biehl
, et al.
·
Communications in computer and information science
·
7
Formal Approaches to a Definition of Agents
2017
·
Biehl, Martin Andreas
·
arXiv (Cornell University)
·
7
PDF
Action and perception for spatiotemporal patterns
2017
·
Martin Biehl
, Daniel Polani
·
European Conference on Artificial Life
·
6
PDF
Interacting LLMs: A Dive into Collaborative AI
2024
·
Grant Cheng
, Oliver Wang
, et al.
·
IEEE International Conference on Semantic Computing (ICSC)
·
3
Embracing sensorimotor history: Time-synchronous and time-unrolled Markov blankets in the free-energy principle
2022
·
Nathaniel Virgo
, Fernando E. Rosas
, et al.
·
Behavioral and Brain Sciences
·
3
PDF
Specific and Complete Local Integration of Patterns in Bayesian Networks
2017
·
Martin Biehl
, Takashi Ikegami
, et al.
·
Entropy
·
3
Interpreting Dynamical Systems as Bayesian Reasoners
2021
·
Virgo, Nathaniel
, Biehl, Martin
, et al.
·
arXiv (Cornell University)
·
2
PDF
A technical critique of the free energy principle as presented in "Life as we know it"
2020
·
Martin Biehl
, Felix A. Pollock
, et al.
·
arXiv (Cornell University)
·
2
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
2021
·
Francesco Massari
, Martin Biehl
, et al.
·
IEEE International Conference on Development and Learning (ICDL)
·
1
PDF
Investigating Transformational Complexity: Counting Functions a Region Induces on Another in Elementary Cellular Automata
2021
·
Martin Biehl
, Olaf Witkowski
·
Complexity
·
1
PDF
Dynamics of a Bayesian Hyperparameter in a Markov Chain
2020
·
Martin Biehl
, Ryota Kanai
·
Communications in computer and information science
·
1
Learning body-affordances to simplify action spaces
2017
·
Guttenberg, Nicholas
, Biehl, Martin
, et al.
·
arXiv (Cornell University)
·
1
PDF
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks
2016
·
Guttenberg, Nicholas
, Biehl, Martin
, et al.
·
arXiv (Cornell University)
·
1
PDF
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Works count:
40
Citation count:
476
H-index:
9
I10-index:
9
Year
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