Prescriptive Quality Assurance
Symbolic and subsymbolic AI
The term artificial intelligence summarizes methods in computer science, which aim to increase the systems ability to react to changing conditions.
Even more, finding a new strategy independently to reach the given task. Artificial intelligence offers a variety of facets. One of them is the distinction between subsymbolic and symbolic AI.
Symbolic AI includes semantics and causalities while subsymbolic AI describes AI works on numerical values, which inherit a semantic representation. In LaiLa, we focus on the interlinking of these two domains to create semantic context for sub symbolic features by using ontologies and casualties.