Working Bibliography, Technical Supplement: Computational Methods, Game Theory, and Spatial Analysis for the Study of Dutch Colonial Cartography and Knowledge Asymmetry, 1609 to 1714

This technical supplement to the dissertation working bibliography covers the computational, mathematical, and methodological literature informing the research program. It is organized into six sections: game theory and information asymmetry economics, including the foundational papers of Harsanyi, Akerlof, Nash, Spence, and Stiglitz and the core graduate textbooks; convolutional neural network architecture and deep learning for image analysis, including applications to historical documents and maps; hyperparameter optimization, including the Optuna framework; GIS, georeferencing, and spatial analysis methodology, including historical GIS applications; digital humanities and computational history; and vision-language models as applied in active collaboration with the Carmichael Computational Pathology Group at the University of North Carolina Chapel Hill. The supplement directly supports the GPU-accelerated CNN methodology proposed in the companion preprint at the Journal of Data Mining and Digital Humanities (https://doi.org/10.5281/zenodo.20363866) and the ArcGIS georeferencing methodology in the companion preprint at Imago Mundi (https://doi.org/10.5281/zenodo.20380332). It is a supplement to the primary working bibliography deposit. Version 1.0, May 2026. Continuously updated.