Benchmark and paper package for validating operational self-model and agency constructs in controlled artificial neural architectures.
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Updated
May 25, 2026 - Python
Benchmark and paper package for validating operational self-model and agency constructs in controlled artificial neural architectures.
R script analyzing the Swahili RCADS-25 among Kenyan adolescents, assessing internal consistency, construct validity, convergent and divergent validity, and measurement invariance to evaluate the psychometric propertiesscale.
Supplementary materials for the following publication: Davydenko, A., & Goodwin, P. (2021). Assessing point forecast bias across multiple time series: Measures and visual tools. International Journal of Statistics and Probability, 10(5), 46-69. https://doi.org/10.5539/ijsp.v10n5p46
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