Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. - Casper Hesp; Alexander Tschantz; Beren Millidge; Maxwell Ramstead; Karl J. Friston; Ryan Smith (IWAI, 2020)

A tale of two densities: active inference is enactive inference. - Maxwell James D. Ramstead; Michael D. Kirchhoff; Karl J. Friston (Adapt. Behav., 2020)

Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations. - Maxwell James D. Ramstead; Karl J. Friston; Inês Hipólito (Entropy, 2020)

Memory and Markov Blankets. - Thomas Parr; Lancelot Da Costa; Conor Heins; Maxwell James D. Ramstead; Karl J. Friston (Entropy, 2021)

Editorial: Probabilistic Perspectives on Brain (Dys)function. - Thomas Parr; Dimitrije Markovic; Maxwell James D. Ramstead; Ryan Smith; Casper Hesp; Karl J. Friston (Frontiers Artif. Intell., 2021)

Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. - Casper Hesp; Ryan Smith; Thomas Parr; Micah Allen; Karl J. Friston; Maxwell James D. Ramstead (Neural Comput., 2021)

Mapping Husserlian Phenomenology onto Active Inference. - Mahault Albarracin; Riddhi J. Pitliya; Maxwell J. D. Ramstead; Jeffrey Yoshimi (IWAI, 2022)

Designing Ecosystems of Intelligence from First Principles. - Karl J. Friston; Maxwell J. D. Ramstead; Alex B. Kiefer; Alexander Tschantz; Christopher L. Buckley; Mahault Albarracin; Riddhi J. Pitliya; Conor Heins; Brennan Klein; Beren Millidge; Dalton A. R. Sakthivadivel; Toby St Clere Smithe; et al. (CoRR, 2022)

Epistemic Communities under Active Inference. - Mahault Albarracin; Daphne Demekas; Maxwell J. D. Ramstead; Conor Heins (Entropy, 2022)

Applying the Free Energy Principle to Complex Adaptive Systems. - Paul B. Badcock; Maxwell J. D. Ramstead; Zahra Sheikhbahaee; Axel Constant (Entropy, 2022)

Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making. - Mahault Albarracin; Inês Hipólito; Safae Essafi Tremblay; Jason G. Fox; Gabriel René; Karl J. Friston; Maxwell J. D. Ramstead (IWAI, 2023)

Active Inference and Intentional Behaviour. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (CoRR, 2023)

A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks. - Axel Constant; Hannes Westermann; Bryan Wilson; Alex B. Kiefer; Inês Hipólito; Sylvain Pronovost; Steven Swanson; Mahault Albarracin; Maxwell J. D. Ramstead (CoRR, 2024)

Sustainability under Active Inference. - Mahault Albarracin; Maxwell Ramstead; Riddhi J. Pitliya; Inês Hipólito; Lancelot Da Costa; Maria Raffa; Axel Constant; Sarah Grace Manski (Syst., 2024)

Shared Protentions in Multi-Agent Active Inference. - Mahault Albarracin; Riddhi J. Pitliya; Toby St Clere Smithe; Daniel Ari Friedman; Karl J. Friston; Maxwell J. D. Ramstead (Entropy, 2024)

An Affective-Taxis Hypothesis for Alignment and Interpretability. - Eli Sennesh; Maxwell Ramstead (AGI (2), 2025)

Active Inference and Intentional Behavior. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (Neural Comput., 2025)

Noumenal Labs White Paper: How To Build A Brain. - Maxwell J. D. Ramstead; Candice Pattisapu; Jason G. Fox; Jeff Beck (CoRR, 2025)