# 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](https://fastapi.tiangolo.com/)

- **Pydantic**: Data validation and settings management using Python type annotations.
  - Documentation: [Pydantic Documentation](https://pydantic-docs.helpmanual.io/)

- **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](https://tinkerpop.apache.org/gremlin.html)

- **React**: A JavaScript library for building user interfaces.
  - Documentation: [React Documentation](https://reactjs.org/docs/getting-started.html)


## Related Projects
- **pyAgrum**: pyAgrum is a scientific C++ and Python library dedicated to Bayesian
    networks (BN) and other Probabilistic Graphical Models. Its is based on the C++ aGrUM
    library.
    [pyAgrum Documentation](https://pyagrum.readthedocs.io/en/latest/index.html)

- **pycid**: pycid package implements causal influence diagrams and methods to analyze them.
    [pycid Github Repository](https://github.com/causalincentives/pycid)

- **DecisionProgramming**: DecisionProgramming.jl is a Julia package for solving multi-stage
    decision problems under uncertainty, modeled using influence diagrams, and leveraging the
    power of mixed-integer linear programming.
    [DecisionProgramming Documentation](https://gamma-opt.github.io/DecisionProgramming.jl/dev/)

- **BARD: Bayesian ARgumentation via Delphi**: Bayesian reasoning for better thinking. [BARD blogg](https://bayesiandelphi.wordpress.com/)

- **SilverDecision**: A free and open source decision tree software. [SilverDecision documentation](https://silverdecisions.pl/)


## Documentation Links
- **RESTful API Design**: A guide to RESTful API design principles.
  - [RESTful API Design](https://www.example.com/restful-api-design)