What is it about?
This paper introduces cognitive networks, a powerful tool for studying how we think and understand the world. Cognitive networks map out how different concepts, like words or images, are connected in our minds. These connections help us process and store knowledge. The paper explains how these networks can be used to explore how we process language, learn new information, or even understand creativity and personality. It also provides a simple guide to the math and tools needed to build and analyze these networks, making it a helpful resource for researchers and students.
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Why is it important?
Cognitive networks offer a unique way to model and understand how we think, learn, and process information. By mapping out the connections between concepts in our minds, these networks can help us better understand everything from language processing to cognitive development and even creativity. This paper makes these complex ideas accessible, helping both new and experienced researchers explore the potential of cognitive networks in a wide range of fields, from psychology to data science.
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This page is a summary of: Cognitive networks for knowledge modelling: A gentle tutorial for data- and cognitive scientists, December 2023, Center for Open Science,
DOI: 10.31234/osf.io/dsmuk.
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