The AIDDL framework is a language and a set of libraries for modeling, testing, and running integrated AI systems. Apart from the language there are three main components in the AIDDL framework. The core library offers programming language support, the common library is a collection of common AI type definitions and algorithms, and the example library is a set of self-contained examples of integrated AI created in AIDDL.
Additional information: The AIDDL framework was created to make AI easier to integrate and individual components robust and easily accessible. We have plans to create educational components that can explain on request what individual components in an integrated system do in order to support transparency in AI complex systems. Right now our main focus is to extend language support, include more features, and increase the robustness of existing features to provide a solid base on which integrated AI systems can be built.
There is no data collection, storage of user information or stored user information in this framework or in any of the example projects. All example projects run purely offline and do not collect user data or connect to online services.