Minds and Machines

Papers
(The median citation count of Minds and Machines is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?68
Ethics of Self-driving Cars: A Naturalistic Approach60
Dynamical Systems Implementation of Intrinsic Sentence Meaning50
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems41
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science34
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text34
Explanations in AI as Claims of Tacit Knowledge29
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment29
Scientific Exploration and Explainable Artificial Intelligence28
Why Indirect Harms do not Support Social Robot Rights25
Submarine Cables and the Risks to Digital Sovereignty24
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory23
The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems22
From Pluralistic Normative Principles to Autonomous-Agent Rules16
Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI14
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems12
Are Propositional Attitudes Mental States?12
What Might Machines Mean?11
Causal and Evidential Conditionals9
Explainable Artificial Intelligence in Data Science9
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?9
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge9
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models8
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind8
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?7
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition7
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