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
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment29
Explanations in AI as Claims of Tacit Knowledge29
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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