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Answer Set Programming

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Book cover Reasoning Web. Semantic Technologies for Intelligent Data Access (Reasoning Web 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8067))

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Abstract

Answer Set Programming (ASP) evolved from various fields such as Logic Programming, Deductive Databases, Knowledge Representation, and Nonmonotonic Reasoning, and serves as a flexible language for declarative problem solving. There are two main tasks in problem solving, representation and reasoning, which are clearly separated in the declarative paradigm. In ASP, representation is done using a rule-based language, while reasoning is performed using implementations of general-purpose algorithms, referred to as ASP solvers. Rules in ASP are interpreted according to common sense principles, including a variant of the closed-world-assumption (CWA) and the unique-name-assumption (UNA). Collections of ASP rules are referred to as ASP programs, which represent the modelled knowledge. To each ASP program a collection of answer sets, or intended models, is associated, which stand for the solutions to the modelled problem; this collection can also be empty, meaning that the modelled problem does not admit a solution. Several reasoning tasks exist: the classical ASP task is enumerating all answer sets or determining whether an answer set exists, but ASP also allows for query answering in brave or cautious modes. This article provides an introduction to the field, starting with historical perspectives, followed by a definition of the core language, a guideline to knowledge representation, an overview of existing ASP solvers, and a panorama of current research topics in the field.

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  1. Department of Mathematics, University of Calabria, 87030, Rende, CS, Italy

    Wolfgang Faber

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  1. Fakultät Informatik, Technische Universität Dresden, Nöthnitzer Str. 46, 01062, Dresden, Germany

    Sebastian Rudolph

  2. Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, OX1 3 QD, Oxford, UK

    Georg Gottlob  & Ian Horrocks  & 

  3. Department of Computer Science, Vrije Universiteit Amsterdam, de Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands

    Frank van Harmelen

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Faber, W. (2013). Answer Set Programming. In: Rudolph, S., Gottlob, G., Horrocks, I., van Harmelen, F. (eds) Reasoning Web. Semantic Technologies for Intelligent Data Access. Reasoning Web 2013. Lecture Notes in Computer Science, vol 8067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39784-4_4

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