- Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi. The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds and Machines, 33(1):221-248, March 2023.
- Benjamin Eva, Katja Ried, Thomas Müller 0007, Hans-J. Briegel. How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment. Minds and Machines, 33(1):185-219, March 2023.
- Alexander Blanchard. Autonomous Force Beyond Armed Conflict. Minds and Machines, 33(1):251-260, March 2023.
- Peter Gärdenfors, Matías Osta-Vélez. Reasoning with Concepts: A Unifying Framework. Minds and Machines, 33(3):451-485, September 2023.
- Markus Pantsar. Developing Artificial Human-Like Arithmetical Intelligence (and Why). Minds and Machines, 33(3):379-396, September 2023.
- Sam Baron. Explainable AI and Causal Understanding: Counterfactual Approaches Considered. Minds and Machines, 33(2):347-377, June 2023.
- Dan Li. Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice. Minds and Machines, 33(3):429-450, September 2023.
- Jesse Lopes. Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution?. Minds and Machines, 33(3):507-524, September 2023.
- Giorgio Cignarale, Ulrich Schmid 0001, Tuomas E. Tahko, Roman Kuznets. The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems. Minds and Machines, 33(2):293-319, June 2023.
- Jonny Lee. Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science. Minds and Machines, 33(1):153-184, March 2023.