NN / Symbolic AI hybridation
Goal: to enhance DL systems with reasoning capabilities from the ground-up - allowing them to perform transparent multi-step reasoning processes - while retaining end-to-end differentiability and scalability to real-world problems > I get the feeling that if we're going to make further problems in AI, we actually have to get back to some of these problems of knowledge representation reasoning - From ML to machine reasoning - the CLEVR task - Memory-Attention-Composition Networks What is reasoning? (Bottou 2011) - manipulating previously acquired knowledge in order to answer a question - not necessarily achieved by making logical inference (eg: algebraic manipulations of matrices) - composition rules -> combination of operations to address new tasks
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