Cognitive Systems Research 39 (c):1-3 (2016)

Authors
Antonio Lieto
University of Turin
Abstract
We overview the main historical and technological elements characterising the rise, the fall and the recent renaissance of the cognitive approaches to Artificial Intelligence and provide some insights and suggestions about the future directions and challenges that, in our opinion, this discipline needs to face in the next years.
Keywords Cognitive Systems  Computational Models of Cognition  Epistemology of the Artificial  Artificial Intelligence  Functionalism  Structuralism  Computational Explanation
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References found in this work BETA

Minds and Machines.Hilary Putnam - 1960 - In Sidney Hook (ed.), Dimensions of Minds. New York, USA: New York University Press. pp. 138-164.
Simple Heuristics That Make Us Smart.Gerd Gigerenzer, Peter M. Todd & A. B. C. Research Group - 1999 - New York, NY, USA: Oxford University Press USA.
Minds and Machines.Joseph S. Ullian - 1971 - Journal of Symbolic Logic 36 (1):177-177.
The Role of Models in Science.Arturo Rosenblueth & Norbert Wiener - 1945 - Philosophy of Science 12 (4):316-321.

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Citations of this work BETA

Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.

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Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
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