Minds and Machines

Papers
(The median citation count of Minds and Machines is 6. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?101
Ethics of Self-driving Cars: A Naturalistic Approach64
Dynamical Systems Implementation of Intrinsic Sentence Meaning55
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems47
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text35
Trust Me on This One: Conforming to Conversational Assistants34
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science30
Explanations in AI as Claims of Tacit Knowledge29
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment26
Scientific Exploration and Explainable Artificial Intelligence23
Why Indirect Harms do not Support Social Robot Rights22
Submarine Cables and the Risks to Digital Sovereignty21
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory20
Introduction to the Special Issue on “Artificial Speakers - Philosophical Questions and Implications”20
The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems14
From Pluralistic Normative Principles to Autonomous-Agent Rules14
How Robots’ Unintentional Metacommunication Affects Human–Robot Interactions. A Systemic Approach13
Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI12
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems11
Are Propositional Attitudes Mental States?11
What Might Machines Mean?9
Causal and Evidential Conditionals9
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models8
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge8
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?8
Explainable Artificial Intelligence in Data Science8
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind7
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition6
Avatars as Proxies6
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?6
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