Situation Calculus as Answer Set Programming

Authors

  • Joohyung Lee Arizona State University
  • Ravi Palla Arizona State University

DOI:

https://doi.org/10.1609/aaai.v24i1.7601

Keywords:

answer set programming, situation calculus, stable model semantics

Abstract

We show how the situation calculus can be reformulated in terms of the first-order stable model semantics. A further transformation into answer set programs allows us to use an answer set solver to perform propositional reasoning about the situation calculus. We also provide an ASP style encoding method for Reiter's basic action theories, which tells us how the solution to the frame problem in ASP is related to the solution in the situation calculus.

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Published

2010-07-03

How to Cite

Lee, J., & Palla, R. (2010). Situation Calculus as Answer Set Programming. Proceedings of the AAAI Conference on Artificial Intelligence, 24(1), 309-314. https://doi.org/10.1609/aaai.v24i1.7601