David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
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
Paul Thagard & Terrence C. Stewart (2014). Two Theories of Consciousness: Semantic Pointer Competition Vs. Information Integration. Consciousness and Cognition 30:73-90.
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.
Steven E. Wallis (2014). Abstraction and Insight: Building Better Conceptual Systems to Support More Effective Social Change. Foundations of Science 19 (4):353-362.
Peter Blouw, Eugene Solodkin, Paul Thagard & Chris Eliasmith (2015). Concepts as Semantic Pointers: A Framework and Computational Model. Cognitive Science 39 (8):n/a-n/a.
Paul Thagard (2012). The Self as a System of Multilevel Interacting Mechanisms. Philosophical Psychology (2):1-19.
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