Annals of Mathematics and Artificial Intelligence
Special Issue on Symbolic Computation in Software Science — In the Era of Computational and Artificial Intelligence

In 2020, Annals of Mathematics and Artificial Intelligence (AMAI) celebrated its 30th anniversary. Over the years, the journal has promoted better understanding of the application of quantitative, combinatorial, logical, algebraic and algorithmic methods to artificial intelligence areas as diverse as decision support, automated deduction, reasoning, knowledge-based systems, machine learning, computer vision, robotics and planning. AMAI special issues are intended to be collections of original research papers reflecting the intersection of mathematics and a focussed discipline demonstrating how each has contributed greatly to the other. A further goal of the journal is to close the gaps between the fields even further. Papers should report on current research in the appropriate areas, as well as more retrospective papers in which progress has been ongoing over a period of time.
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.
The special issue is related to the topics of the The 9th International Symposium on Symbolic Computation in Software Science - SCSS 2021. Participants of the symposium, as well as other authors are invited to submit contributions.

This special issue focuses on advanced results on the topics that include, but are not limited to, the following:

This special issue welcomes original high-quality contributions that have been neither published in nor simultaneously submitted to any journals or refereed conferences. Submissions will be peer-reviewed using the standard refereeing procedure of the Annals of Mathematics and Artificial Intelligence.
Submitted papers must be in English, prepared in LaTeX according to the guidelines of the journal.
PDF versions of papers should be uploaded at the submission page by
May 23, 2022 June 13, 2022 (extended).
Please choose S710: SCSS - Symbolic Computation in Software Science when you will be selecting the article type.

Guest Editors