CFP Special Issue of Annals of Mathematics and Artificial Intelligence on Symbolic Computation in Software Science

The purpose of this special issue of AMAI is to promote research on theoretical and practical aspects of symbolic computation in software science, combined with recent artificial intelligence techniques. Symbolic Computation is the science of computing with symbolic objects (terms, formulae, programs, representations of algebraic objects etc.). Powerful algorithms have been developed during the past decades for the major subareas of symbolic computation: computer algebra and computational logic. These algorithms and methods are successfully applied in various fields, including software science, which covers a broad range of topics about software construction and analysis. Meanwhile, artificial intelligence methods and machine learning algorithms are widely used nowadays in various domains and, in particular, combined with symbolic computation. Several approaches mix artificial intelligence and symbolic methods and tools deployed over large corpora to create what is known as cognitive systems. Cognitive computing focuses on building systems which interact with humans naturally by reasoning, aiming at learning at scale.