Neha Patil (Editor)

Minds and Machines

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Abbreviated title (ISO 4)
  
Minds Mach.

Edited by
  
Mariarosaria Taddeo

Language
  
English

Publication history
  
1991–present

Discipline
  
Artificial intelligence, philosophy, cognitive science

Publisher
  
Springer Science+Business Media

Minds and Machines is a peer-reviewed academic journal covering artificial intelligence, philosophy, and cognitive science.

Contents

The journal was established in 1991 with James Henry Fetzer as founding editor-in-chief. It is published by Springer Science+Business Media on behalf of the Society for Machines and Mentality, a special interest group within the International Association for Computing and Philosophy. The current editor-in-chief is Mariarosaria Taddeo (University of Oxford).

Editors

Previous editors-in-chief of the journal have been James H. Fetzer (1991–2000), James H. Moor (2001–2010), and Gregory Wheeler (2011–2016).

Abstracting and indexing

The journal is abstracted and indexed by the following services:

According to the Journal Citation Reports, the journal has a 2015 impact factor of 0.769.

Article categories

The journal publishes articles in the categories Research articles, Reviews, Critical and discussion exchanges (debates), Letters to the Editor, and Book reviews.

Frequently cited articles

According to the Web of Science, the following five articles have been cited most frequently:

  • Edelman, S. (1995). "Representation, similarity, and the chorus of prototypes". Minds and Machines. 5: 45–68. doi:10.1007/BF00974189. 
  • Copeland, B. J. (2002). "Hypercomputation". Minds and Machines. 12 (4): 461–502. doi:10.1023/A:1021105915386. 
  • Glymour, C. (1998). "Learning causes: Psychological explanations of causal explanation". Minds and Machines. 8: 39–23. doi:10.1023/A:1008234330618. 
  • Floridi, L.; Sanders, J. W. (2004). "On the Morality of Artificial Agents". Minds and Machines. 14: 349. doi:10.1023/B:MIND.0000035461.63578.9d. 
  • Hadley, R. F.; Hayward, M. B. (1997). "Strong Semantic Systematicity from Hebbian Connectionist Learning". Minds and Machines. 7: 1. doi:10.1023/A:1008252408222. 

    • References

    Minds and Machines Wikipedia
    (Text) CC BY-SA


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