References¶
Research Papers and Books¶
Papers and conferences¶
Nyberg, E. P., Nicholson, A. E., Korb, K. B., Wybrow, M., Zukerman, I., Mascaro, S., Thakur, S., Oshni Alvandi, A., Riley, J., Pearson, R., Morris, S., Herrmann, M., Azad, A. K. M., Bolger, F., Hahn, U., & Lagnado, D. (2022). BARD: a structured technique for group elicitation of Bayesian networks to support analytic reasoning. Risk Analysis, 42(6), 1155-1178. https://doi.org/10.1111/risa.13759
Books¶
“Making Good Decisions” by Reidar B Bratvold and Steve H Begg: Society of Petroleum Engineers, vol. 207, 2010. ISBN 9781555632588, https://doi.org/10.2118/9781555632588.
“Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis” by Uffe B. Kjærulff, Anders L. Madsen: Information Science and Statistics, Springer New York, NY, 2nd edition, 2013. https://doi.org/10.1007/978-1-4614-5104-4
Web sites¶
https://en.wikipedia.org/wiki/Decision_model
https://en.wikipedia.org/wiki/Decision-making_models
External Libraries and Tools¶
FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.6+.
Documentation: FastAPI Documentation
Pydantic: Data validation and settings management using Python type annotations.
Documentation: Pydantic Documentation
Apache TinkerPop™: Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop.
Documentation: SQLAlchemy Documentation
React: A JavaScript library for building user interfaces.
Documentation: React Documentation
Documentation Links¶
RESTful API Design: A guide to RESTful API design principles.