Edith Haim
Biographic Data
| ID | 4624898 |
|---|---|
| NAME | Edith Haim |
| GIVEN NAMES | Edith |
| FAMILY NAME | Haim |
| SIGNATURE | HAIM E |
| AFFILIATIONS | University of Trento |
| ORCID | 0009-0000-4244-904X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cognitive Networks for Knowledge Modeling
In this paper, we introduce the reader to the field of cognitive network science, that is, the application of network science methods to study human cognition and knowledge structures. Cognitive networks are representations of associative knowledge between concepts in a cognitive system apt at acquiring, storing, processing and producing language, that is, the mental lexicon. In a cognitive network, nodes represent concepts with links expressing …
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated raters
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 ratings assigned by humans or AI raters. U…
The word–sentence–construction task versus the verbal fluency task
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The word–sentence–construction task versus the verbal fluency task
Cognitive Networks for Knowledge Modeling
In this paper, we introduce the reader to the field of cognitive network science, that is, the application of network science methods to study human cognition and knowledge structures. Cognitive networks are representations of associative knowledge between concepts in a cognitive system apt at acquiring, storing, processing and producing language, that is, the mental lexicon. In a cognitive network, nodes represent concepts with links expressing …
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated raters
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 ratings assigned by humans or AI raters. U…
Creativity (3 works) · Cognition (2 works) · Creativity in Education and Neuroscience (2 works) · Action Observation and Synchronization (1 work) · Associative property (1 work) · Cognitive architecture (1 work) · Cognitive Computing and Networks (1 work) · Cognitive linguistics (1 work) · Cognitive network (1 work) · Cognitive neuropsychology (1 work)