Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated raters

Abstract excerpt

<p>Creativity is a fundamental skill of human cognition. We use textual forma mentis networks (TFMN) to extract network (semantic/syntactic associations) and emotional features from approximately one thousand human-, GPT3.5-, and Sonnet 3.7-generated stories. Using Explainable Artificial Intelligence (XAI) we test whether features relative to Mednick’s associative theory of creativity can explain creativity rating...

Topics

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• Artificial Intelligence
• Communication
• Intelligence
• Language
• Phenotype

Identifiers and source

Literature Corpus work

e8b8a5dc-4c14-5023-9f32-5ff1a484de6a

DOI

10.31234/osf.io/6zpre_v3