LIPIcs.ICLP.2012.425.pdf
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A Flexible Solver for Finite Arithmetic Circuits
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Technical Communications of the 28th International Conference on Logic Programming (ICLP'12) (ICLP 2012)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Logic Programming (ICLP) - License:
Creative Commons Attribution-NoDerivs 3.0 Unported license
- Publication Date: 2012-09-05
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Nathaniel Wesley Filardo and Jason Eisner. A Flexible Solver for Finite Arithmetic Circuits. In Technical Communications of the 28th International Conference on Logic Programming (ICLP'12). Leibniz International Proceedings in Informatics (LIPIcs), Volume 17, pp. 425-438, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/LIPIcs.ICLP.2012.425
https://doi.org/10.4230/LIPIcs.ICLP.2012.425
Abstract
Arithmetic circuits arise in the context of weighted logic programming languages, such as Datalog with aggregation, or Dyna. A weighted logic program defines a generalized arithmetic circuit—the weighted version of a proof forest, with nodes having arbitrary rather than boolean values. In this paper, we focus on finite circuits. We present a flexible algorithm for efficiently querying
node values as they change under updates to the circuit's inputs. Unlike traditional algorithms, ours is agnostic about which nodes are tabled (materialized), and can vary smoothly between the traditional strategies of forward and backward chaining. Our algorithm is designed to admit future generalizations, including cyclic and infinite circuits and propagation of delta updates.
Keywords
- arithmetic circuits
- memoization
- view maintenance
- logic programming
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