David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Cognitive Science 35 (1):1-33 (2011)
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support cognitive and emotional processes underlying human creativity
|Keywords||Representation Binding Creativity Emotion Neural engineering framework Neural networks Conceptual combination Neurocomputation Convolution|
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Citations of this work BETA
Tobias Schröder, Terrence C. Stewart & Paul Thagard (2014). Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers. Cognitive Science 38 (5):851-880.
Paul Thagard & Terrence C. Stewart (2014). Two Theories of Consciousness: Semantic Pointer Competition Vs. Information Integration. Consciousness and Cognition 30:73-90.
Michael T. Stuart (2014). Cognitive Science and Thought Experiments: A Refutation of Paul Thagard's Skepticism. Perspectives on Science 22 (2):264-287.
Paul Thagard (2012). The Self as a System of Multilevel Interacting Mechanisms. Philosophical Psychology (2):1-19.
Michael Gibbert, James A. Hampton, Zachary Estes & David Mazursky (2012). The Curious Case of the Refrigerator–TV: Similarity and Hybridization. Cognitive Science 36 (6):992-1018.
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