When testing or validating a model we need a diverse set of instances that helps us to analyze the different ways such model can be satisfied. Our work uses classifying terms and constraint strengthening to generate such diverse set.
Low-code platforms are starting to offer integration with AI libraries and components to allow you design smart apps that combine the best of the low-code and AI worlds. Take a look!
Modeling and AI should not be just friends, they must be best friends forever. There are plenty of opportunities in the intersection of these two powerful paradigms. Check them out in this talk!
Xatkit is a new chatbot DSL that helps you to model and deploy complex chatbots that interact with external services. Bringing the power of model-driven engineering to chatbot development
We propose to assign a degree of belief to model statements, which is expressed by a probability (called credence, in statistical terms) that represents a quantification of such a subjective degree of belief. We discuss how it can be represented using current modeling notations, and how to operate with it in order to make informed decisions.
