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 2021-06-01 to 2025-06-01.)

Article	Citations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?	130
A Pragmatic Approach to the Intentional Stance Semantic, Empirical and Ethical Considerations for the Design of Artificial Agents	84
The Treachery of Images in the Digital Sovereignty Debate	57
Dynamical Systems Implementation of Intrinsic Sentence Meaning	52
Ethics of Self-driving Cars: A Naturalistic Approach	49
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems	40
Trust Me on This One: Conforming to Conversational Assistants	40
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science	31
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text	31
Explanations in AI as Claims of Tacit Knowledge	29
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment	28
Scientific Exploration and Explainable Artificial Intelligence	27
Why Indirect Harms do not Support Social Robot Rights	21
Submarine Cables and the Risks to Digital Sovereignty	21
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples	21
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory	20
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy	19
The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems	18
From Pluralistic Normative Principles to Autonomous-Agent Rules	18
Introduction to the Special Issue on “Artificial Speakers - Philosophical Questions and Implications”	18
Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI	17
Are Propositional Attitudes Mental States?	17
How Robots’ Unintentional Metacommunication Affects Human–Robot Interactions. A Systemic Approach	17
Two Dimensions of Opacity and the Deep Learning Predicament	13
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind	13

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems	12
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics	12
What Might Machines Mean?	11
Causal and Evidential Conditionals	10
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge	9
Explainable Artificial Intelligence in Data Science	9
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?	8
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?	7
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind	7
The Dawn of Social Robots: Anthropological and Ethical Issues	7
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models	7
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition	6
Avatars as Proxies	6