Minds and Machines

Papers
(The median citation count of Minds and Machines is 5. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?118
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning74
The Dawn of Social Robots: Anthropological and Ethical Issues55
(What) Can Deep Learning Contribute to Theoretical Linguistics?47
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind47
Computers as Interactive Machines: Can We Build an Explanatory Abstraction?40
A Unified Model of Ad Hoc Concepts in Conceptual Spaces35
Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution?30
The Treachery of Images in the Digital Sovereignty Debate30
A Pragmatic Approach to the Intentional Stance Semantic, Empirical and Ethical Considerations for the Design of Artificial Agents28
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?27
Two Dimensions of Opacity and the Deep Learning Predicament26
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples22
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics21
Why Indirect Harms do not Support Social Robot Rights20
Submarine Cables and the Risks to Digital Sovereignty18
The Missing Ingredient in the Case for Regulating Big Tech17
Meta’s Oversight Board: A Review and Critical Assessment17
Reasoning with Concepts: A Unifying Framework17
Dynamical Systems Implementation of Intrinsic Sentence Meaning16
Analogue Models and Universal Machines. Paradigms of Epistemic Transparency in Artificial Intelligence16
Developing Artificial Human-Like Arithmetical Intelligence (and Why)15
Ethics of Self-driving Cars: A Naturalistic Approach15
Correction to: What Might Machines Mean?14
Strictly Human: Limitations of Autonomous Systems14
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition13
The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation12
What Might Machines Mean?12
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems12
Avatars as Proxies9
Defining Explanation and Explanatory Depth in XAI9
Trust Me on This One: Conforming to Conversational Assistants8
Correction to: Analysing the Combined Health, Social and Economic Impacts of the Corona Virus Pandemic Using Agent‑Based Social Simulation8
Autonomous Force Beyond Armed Conflict7
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems7
It’s Friendship, Jim, but Not as We Know It: A Degrees-of-Friendship View of Human–Robot Friendships6
Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots6
Robot Autonomy vs. Human Autonomy: Social Robots, Artificial Intelligence (AI), and the Nature of Autonomy5
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text5
Do Computers "Have Syntax, But No Semantics"?5
Explainable AI and Causal Understanding: Counterfactual Approaches Considered5
On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making5
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge5
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory5
A Hybrid Theory of Event Memory5
0.031554937362671