OOIR: Observatory of International Research

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 2021-08-01 to 2025-08-01.)

Article	Citations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?	87
Ethics of Self-driving Cars: A Naturalistic Approach	61
Dynamical Systems Implementation of Intrinsic Sentence Meaning	59
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems	51
Trust Me on This One: Conforming to Conversational Assistants	49
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text	43
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science	36
Explanations in AI as Claims of Tacit Knowledge	32
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment	32
Scientific Exploration and Explainable Artificial Intelligence	31
Why Indirect Harms do not Support Social Robot Rights	30
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples	25
Submarine Cables and the Risks to Digital Sovereignty	24
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory	23
Introduction to the Special Issue on “Artificial Speakers - Philosophical Questions and Implications”	22
The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems	21
From Pluralistic Normative Principles to Autonomous-Agent Rules	20
Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI	19
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy	19
How Robots’ Unintentional Metacommunication Affects Human–Robot Interactions. A Systemic Approach	19
Are Propositional Attitudes Mental States?	18
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind	14
Two Dimensions of Opacity and the Deep Learning Predicament	13
What Might Machines Mean?	11
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems	11

Causal and Evidential Conditionals	11
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge	9
Explainable Artificial Intelligence in Data Science	8
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind	8
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?	8
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models	7
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?	7
The Dawn of Social Robots: Anthropological and Ethical Issues	7
Explainable AI and Causal Understanding: Counterfactual Approaches Considered	6
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition	6
Avatars as Proxies	6