• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 34 matches

• 2023
• 
  Francesco Abbate:
  Natural and Artificial Intelligence: A Comparative Analysis of Cognitive Aspects. Minds Mach. 33(4): 791-815 (2023)
• 
  Kars Alfrink, Ianus Keller, Gerd Kortuem, Neelke Doorn:
  Contestable AI by Design: Towards a Framework. Minds Mach. 33(4): 613-639 (2023)
• 
  Sam Baron:
  Explainable AI and Causal Understanding: Counterfactual Approaches Considered. Minds Mach. 33(2): 347-377 (2023)
• 
  Pierre Beckmann, Guillaume Köstner, Inês Hipólito:
  An Alternative to Cognitivism: Computational Phenomenology for Deep Learning. Minds Mach. 33(3): 397-427 (2023)
• 
  Fabian Beigang:
  Yet Another Impossibility Theorem in Algorithmic Fairness. Minds Mach. 33(4): 715-735 (2023)
• 
  Alexander Blanchard:
  Autonomous Force Beyond Armed Conflict. Minds Mach. 33(1): 251-260 (2023)
• 
  Stefan Buijsman, Herman Veluwenkamp:
  Spotting When Algorithms Are Wrong. Minds Mach. 33(4): 541-562 (2023)
• 
  Giorgio Cignarale, Ulrich Schmid, Tuomas E. Tahko, Roman Kuznets:
  The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems. Minds Mach. 33(2): 293-319 (2023)
• 
  Igor Douven:
  The Role of Naturalness in Concept Learning: A Computational Study. Minds Mach. 33(4): 695-714 (2023)
• 
  Juan M. Durán:
  The Non-theory-driven Character of Computer Simulations and Their Role as Exploratory Strategies. Minds Mach. 33(3): 487-505 (2023)
• 
  Benjamin Eva, Katja Ried, Thomas Müller, Hans J. Briegel:
  How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment. Minds Mach. 33(1): 185-219 (2023)
• 
  Peter Gärdenfors, Matías Osta-Vélez:
  Reasoning with Concepts: A Unifying Framework. Minds Mach. 33(3): 451-485 (2023)
• 
  Bernardo Gonçalves:
  The Turing Test is a Thought Experiment. Minds Mach. 33(1): 1-31 (2023)
• 
  Andrea Guardo:
  A Dilemma for Dispositional Answers to Kripkenstein's Challenge. Minds Mach. 33(1): 135-152 (2023)
• 
  Emmie Hine, Luciano Floridi:
  The Blueprint for an AI Bill of Rights: In Search of Enaction, at Risk of Inaction. Minds Mach. 33(2): 285-292 (2023)
• 
  Luke Kersten:
  A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition. Minds Mach. 33(1): 113-134 (2023)
• 
  Jonny Lee:
  Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science. Minds Mach. 33(1): 153-184 (2023)
• 
  Dan Li:
  Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice. Minds Mach. 33(3): 429-450 (2023)
• 
  Jesse Lopes:
  Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution? Minds Mach. 33(3): 507-524 (2023)
• 
  Katherine Lou, Luciano Floridi:
  Online Altruism: What it is and how it Differs from Other Kinds of Altruism. Minds Mach. 33(4): 641-666 (2023)
• 
  Alice Martin, Mathieu Magnaudet, Stéphane Conversy:
  Computers as Interactive Machines: Can We Build an Explanatory Abstraction? Minds Mach. 33(1): 83-112 (2023)
• 
  Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi:
  The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33(1): 221-248 (2023)
• 
  Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi:
  Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33(1): 249 (2023)
• 
  Devesh Narayanan, Zhi Ming Tan:
  Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI. Minds Mach. 33(1): 55-82 (2023)
• 
  André T. Nemat, Sarah J. Becker, Simon Lucas, Sean Thomas, Isabel Gadea, Jean Enno Charton:
  The Principle-at-Risk Analysis (PaRA): Operationalising Digital Ethics by Bridging Principles and Operations of a Digital Ethics Advisory Panel. Minds Mach. 33(4): 737-760 (2023)
• 
  Merel Noorman, Tsjalling Swierstra:
  Democratizing AI from a Sociotechnical Perspective. Minds Mach. 33(4): 563-586 (2023)
• 
  Markus Pantsar:
  Developing Artificial Human-Like Arithmetical Intelligence (and Why). Minds Mach. 33(3): 379-396 (2023)
• 
  Thomas W. Polger, Lawrence A. Shapiro:
  The Puzzling Resilience of Multiple Realization. Minds Mach. 33(2): 321-345 (2023)
• 
  Andrea Polonioli, Riccardo Ghioni, Ciro Greco, Prathm Juneja, Jacopo Tagliabue, David S. Watson, Luciano Floridi:
  The Ethics of Online Controlled Experiments (A/B Testing). Minds Mach. 33(4): 667-693 (2023)
• 
  Marc Serramia, Manel Rodriguez-Soto, Maite López-Sánchez, Juan A. Rodríguez-Aguilar, Filippo Bistaffa, Paula Boddington, Michael J. Wooldridge, Carlos Ansótegui:
  Encoding Ethics to Compute Value-Aligned Norms. Minds Mach. 33(4): 761-790 (2023)

skipping 4 more matches