One way to see two in one. - Martin Biehl 001; Daniel Polani (ECAL, 2013)

Interaction learning for dynamic movement primitives used in cooperative robotic tasks. - Tomas Kulvicius; Martin Biehl 001; Mohamad Javad Aein; Minija Tamosiunaite; Florentin Wörgötter (Robotics Auton. Syst., 2013)

Towards Designing Artificial Universes for Artificial Agents Under Interaction Closure. - Martin Biehl 001; Christoph Salge; Daniel Polani (ALIFE, 2014)

Apparent actions and apparent goal-directedness. - Martin Biehl 001; Daniel Polani (ECAL, 2015)

Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. - Daniel Polani; Takashi Ikegami; Martin Biehl 001 (ALIFE, 2016)

Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2016)

Action and perception for spatiotemporal patterns. - Martin Biehl 001; Daniel Polani (ECAL, 2017)

Formal approaches to a definition of agents. - Martin Biehl 001 (CoRR, 2017)

Learning body-affordances to simplify action spaces. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2017)

Specific and Complete Local Integration of Patterns in Bayesian Networks. - Martin Biehl 001; Takashi Ikegami; Daniel Polani (Entropy, 2017)

Formal approaches to a definition of agents. - Martin Biehl 001 (2017)

Being curious about the answers to questions: novelty search with learned attention. - Nicholas Guttenberg; Martin Biehl 001; Nathaniel Virgo; Ryota Kanai (ALIFE, 2018)

Geometry of Friston's active inference. - Martin Biehl 001 (CoRR, 2018)

Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. - Martin Biehl 001; Christian Guckelsberger; Christoph Salge; Simón C. Smith; Daniel Polani (Frontiers Neurorobotics, 2018)

Dynamics of a Bayesian Hyperparameter in a Markov Chain. - Martin Biehl 001; Ryota Kanai (IWAI, 2020)

Causal Blankets: Theory and Algorithmic Framework. - Fernando E. Rosas; Pedro A. M. Mediano; Martin Biehl 001; Shamil Chandaria; Daniel Polani (IWAI, 2020)

Non-trivial informational closure of a Bayesian hyperparameter. - Martin Biehl 001; Ryota Kanai (SSCI, 2020)

Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments. - Francesco Massari; Martin Biehl 001; Lisa Meeden; Ryota Kanai (ICDL, 2021)

Interpreting Dynamical Systems as Bayesian Reasoners. - Nathaniel Virgo; Martin Biehl 001; Simon McGregor (PKDD/ECML Workshops (1), 2021)

Investigating Transformational Complexity: Counting Functions a Region Induces on Another in Elementary Cellular Automata. - Martin Biehl 001; Olaf Witkowski (Complex., 2021)

A Technical Critique of Some Parts of the Free Energy Principle. - Martin Biehl 001; Felix A. Pollock; Ryota Kanai (Entropy, 2021)

Interpreting Systems as Solving POMDPs: A Step Towards a Formal Understanding of Agency. - Martin Biehl 001; Nathaniel Virgo (IWAI, 2022)

Interacting LLMs: A Dive into Collaborative AI. - Grant Cheng; Oliver Wang; Alyssa M. Adams; Martin Biehl 001; Luc Caspar; Olaf Witkowski (ICSC, 2024)

A Bayesian Interpretation of the Internal Model Principle. - Manuel Baltieri; Martin Biehl 001; Matteo Capucci; Nathaniel Virgo (CoRR, 2025)

A "good regulator theorem" for embodied agents. - Nathaniel Virgo; Martin Biehl 001; Manuel Baltieri; Matteo Capucci (CoRR, 2025)