Open AccessApplications of Answer Set Programming
Author(s) -
Erdem Esra,
Gelfond Michael,
Leone Nicola
Publication year - 2016
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v37i3.2678
Subject(s) - answer set programming , representation (politics) , set (abstract data type) , computer science , knowledge representation and reasoning , artificial intelligence , robotics , programming language , software engineering , theoretical computer science , robot , politics , political science , law
Answer set programming (ASP) has been applied fruitfully to a wide range of areas in AI and in other fields, both in academia and in industry, thanks to the expressive representation languages of ASP and the continuous improvement of ASP solvers. We present some of these ASP applications, in particular, in knowledge representation and reasoning, robotics, bioinformatics, and computational biology as well as some industrial applications. We discuss the challenges addressed by ASP in these applications and emphasize the strengths of ASP as a useful AI paradigm.