Goal-directed execution of answer set programs

  • Authors:
  • Kyle Marple;Ajay Bansal;Richard Min;Gopal Gupta

  • Affiliations:
  • University of Texas at Dallas, Richardson, Texas, USA;Arizona State University, Mesa, Arizona, USA;University of Texas at Dallas, Richardson, Texas, USA;University of Texas at Dallas, Richardson, Texas, USA

  • Venue:
  • Proceedings of the 14th symposium on Principles and practice of declarative programming
  • Year:
  • 2012

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Abstract

Answer Set Programming (ASP) represents an elegant way of introducing non-monotonic reasoning into logic programming. ASP has gained popularity due to its applications to planning, default reasoning and other areas of AI. However, none of the approaches and current implementations for ASP are goal-directed. In this paper we present a technique based coinduction that can be employed to design SLD resolution-style, goal-directed methods for executing answer set programs. We also discuss advantages and applications of such goal-directed execution of answer set programs, and report results from our implementation.