Annals of Mathematics and Artificial Intelligence
Special Issue on Symbolic Computation in Software Science — In the Era of Computational and Artificial Intelligence
2022
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.
This special issue focuses on advanced results on the topics that include, but are not limited to, the following:
- Software science-relevant applications of
- automated reasoning, knowledge reasoning, common-sense reasoning, reasoning in science
- combinations of linguistic/learning-based and semantic/reasoning methods
- algebras, co-algebras, categories, proof theory, model theory
- artificial intelligence and machine learning methods
- algorithm (program) analysis, synthesis, verification
- extraction of specifications from algorithms (programs)
- algorithm (program) transformation
- formal methods for network and system security
- programming models
- formalization and computerization of knowledge; large-scale computer understanding of mathematics and science
- alignment and joint processing of formal, semi-formal, and informal libraries
- formal verification of artificial intelligence and machine learning algorithms, explainable artificial intelligence, symbolic artificial intelligence
- cognitive computing, cognitive vision, perception systems and artificial reasoners for robotics
- computational origami
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.
May 23, 2022 June 13, 2022 (extended).
Please choose S710: SCSS - Symbolic Computation in Software Science when you will be selecting the article type.