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ORCIDMartin Biehl 0001
Person information
- affiliation: Cross Labs, Cross Compass, Araya Inc., Tokyo, Japan
- affiliation (PhD 2017): University of Hertfordshire, Hatfield, UK
Other persons with the same name
- Martin Biehl 0002 — Karlsruhe University, Germany
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2020 – today
- 2024
[c13]Grant Cheng, Oliver Wang, Alyssa M. Adams, Martin Biehl, Luc Caspar, Olaf Witkowski:
Interacting LLMs: A Dive into Collaborative AI. ICSC 2024: 152-155- 2022
- [c12]Martin Biehl
, Nathaniel Virgo:
Interpreting Systems as Solving POMDPs: A Step Towards a Formal Understanding of Agency. IWAI 2022: 16-31 - [i14]Martin Biehl, Nathaniel Virgo:
Interpreting systems as solving POMDPs: a step towards a formal understanding of agency. CoRR abs/2209.01619 (2022) - 2021
- [j5]Martin Biehl, Olaf Witkowski:
Investigating Transformational Complexity: Counting Functions a Region Induces on Another in Elementary Cellular Automata. Complex. 2021: 7501405:1-7501405:8 (2021) - [j4]Martin Biehl, Felix A. Pollock, Ryota Kanai:
A Technical Critique of Some Parts of the Free Energy Principle. Entropy 23(3): 293 (2021) - [c11]Francesco Massari, Martin Biehl, Lisa Meeden, Ryota Kanai:
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments. ICDL 2021: 1-6 - [c10]Nathaniel Virgo, Martin Biehl, Simon McGregor:
Interpreting Dynamical Systems as Bayesian Reasoners. PKDD/ECML Workshops (1) 2021: 726-762 - [i13]Francesco Massari, Martin Biehl, Lisa Meeden, Ryota Kanai:
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments. CoRR abs/2107.07031 (2021) - [i12]Nathaniel Virgo, Martin Biehl, Simon McGregor:
Interpreting Dynamical Systems as Bayesian Reasoners. CoRR abs/2112.13523 (2021) - 2020
- [c9]Martin Biehl, Ryota Kanai:
Dynamics of a Bayesian Hyperparameter in a Markov Chain. IWAI 2020: 35-41 - [c8]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal Blankets: Theory and Algorithmic Framework. IWAI 2020: 187-198 - [c7]Martin Biehl, Ryota Kanai:
Non-trivial informational closure of a Bayesian hyperparameter. SSCI 2020: 1202-1209 - [i11]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal blankets: Theory and algorithmic framework. CoRR abs/2008.12568 (2020) - [i10]Martin Biehl, Ryota Kanai:
Non-trivial informational closure of a Bayesian hyperparameter. CoRR abs/2010.01855 (2020)
2010 – 2019
- 2018
- [j3]Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani:
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. Frontiers Neurorobotics 12: 45 (2018) - [c6]Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. ALIFE 2018: 518-525 - [i9]Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. CoRR abs/1806.00201 (2018) - [i8]Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani:
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. CoRR abs/1806.08083 (2018) - [i7]Martin Biehl:
Geometry of Friston's active inference. CoRR abs/1811.08241 (2018) - 2017
- [b1]Martin Biehl:
Formal approaches to a definition of agents. University of Hertfordshire, UK, 2017 - [j2]Martin Biehl, Takashi Ikegami, Daniel Polani:
Specific and Complete Local Integration of Patterns in Bayesian Networks. Entropy 19(5): 230 (2017) - [c5]Martin Biehl, Daniel Polani:
Action and perception for spatiotemporal patterns. ECAL 2017: 68-75 - [i6]Martin Biehl:
Formal approaches to a definition of agents. CoRR abs/1704.02716 (2017) - [i5]Martin Biehl, Daniel Polani:
Action and perception for spatiotemporal patterns. CoRR abs/1706.03576 (2017) - [i4]Nicholas Guttenberg, Martin Biehl, Ryota Kanai:
Learning body-affordances to simplify action spaces. CoRR abs/1708.04391 (2017) - 2016
- [c4]Daniel Polani, Takashi Ikegami, Martin Biehl:
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. ALIFE 2016: 722-729 - [i3]Martin Biehl, Takashi Ikegami, Daniel Polani:
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. CoRR abs/1605.05676 (2016) - [i2]Nicholas Guttenberg, Martin Biehl, Ryota Kanai:
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. CoRR abs/1609.00116 (2016) - 2015
- [c3]Martin Biehl, Daniel Polani:
Apparent actions and apparent goal-directedness. ECAL 2015: 511 - 2014
- [c2]Martin Biehl, Christoph Salge, Daniel Polani:
Towards Designing Artificial Universes for Artificial Agents Under Interaction Closure. ALIFE 2014: 949-956 - [i1]Martin Biehl, Christoph Salge, Daniel Polani:
Towards designing artificial universes for artificial agents under interaction closure. CoRR abs/1406.1502 (2014) - 2013
- [j1]Tomas Kulvicius, Martin Biehl, Mohamad Javad Aein, Minija Tamosiunaite, Florentin Wörgötter:
Interaction learning for dynamic movement primitives used in cooperative robotic tasks. Robotics Auton. Syst. 61(12): 1450-1459 (2013) - [c1]Martin Biehl, Daniel Polani:
One way to see two in one. ECAL 2013: 1099-1106
Coauthor Index
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