Decision Making with AI: Conjure and Jupyter Notebooks
Constraint Programming is a method of problem-solving that involves defining variables and their relationships in the form of constraints. It is widely used in various fields such as scheduling, resource allocation, and combinatorial optimisation. In this exhibition, we will demonstrate the integration of Constraint Programming with Jupyter Notebooks. Jupyter Notebooks provide an interactive platform for writing and running code, displaying results, and sharing documents with others. By combining these two technologies, we can create a user-friendly environment for modelling and solving constraint programming problems. This integration brings forth new opportunities for education, research, and practical applications, making constraint programming more accessible and widely used.
Keywords
Artificial Intelligence, Constraint Programming, Optimisation
Staff
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