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An Information Theoretic Approach to Symbolic Learning in Synthetic Languages
An important aspect of using entropy-based models and proposed “synthetic languages”, is the seemingly simple task of knowing how to identify the probabilistic symbols. If the system has discrete features, then this task may be trivial; however, for observed analog behaviors described by continuous...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871184/ https://www.ncbi.nlm.nih.gov/pubmed/35205553 http://dx.doi.org/10.3390/e24020259 |