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Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation
This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally...
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| Pubblicato in: | Cogn Sci |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6593436/ https://ncbi.nlm.nih.gov/pubmed/31204797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/cogs.12738 |
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