A Semantic Network Cartography of the Creative Mind.
1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Trends in Cognitive Sciences
|February 27, 2019
Summary
Computational network science reveals how semantic memory structure impacts creativity. Quantitative analysis of connectivity, distance, and structure offers new insights into this complex relationship.
Area of Science:
- Cognitive Psychology
- Computational Neuroscience
- Network Science
Background:
- The link between semantic memory and creativity is widely theorized but not empirically understood.
- Recent advancements in computational network science offer novel methodologies to explore cognitive functions.
Purpose of the Study:
- To investigate the structural properties of semantic memory and their relationship with creative processes.
- To apply network science tools for a quantitative assessment of semantic memory's role in creativity.
Main Methods:
- Utilizing computational network science techniques to analyze semantic memory.
- Employing measures of connectivity, distance, and network structure to quantify relationships.
Main Results:
- Quantitative insights into how semantic memory structure influences creative output.
- Demonstration of network science's utility in understanding cognitive architecture.
Conclusions:
- Semantic memory structure plays a quantifiable role in creativity.
- Network science provides powerful tools for exploring the neural basis of creativity.
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