Social Learning in Neural Agent-Based Models.
Agent-based models (ABMs) are widely used to study how individual interactions shape collective behaviors. Critics argue that ABMs are often too simplistic to capture real-world complexities. We address this by integrating artificial neural networks into ABMs, focusing on enhancing the Hegselmann–Kr...
| Publicado en: | Philosophy of Science Vol. 92; no. 1; pp. 141 - 162 |
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| Formato: | Artículo |
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Cambridge University Press
Jan2025
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| Acceso en línea: | Ver este registro en EBSCOhost |