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Soft Constraint Automata with Memory

  • Kasper Dokter
  • Fabio Gadducci
  • Francesco SantiniEmail author
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10865)

Abstract

In this paper, we revise the notion of Soft Constraint Automata, where automata transitions are weighted and consequently each action is associated with a preference value. We first relax the underlying algebraic structure that models preferences, with the purpose to use bipolar preferences (i.e., both positive and negative ones). Then, we equip automata with memory cells, that is, with an internal state to remember and update information from transition to transition. Finally, we revise automata operators, as join and hiding.

Keywords

Constraint automata with memory Soft constraints 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Kasper Dokter
    • 1
  • Fabio Gadducci
    • 2
  • Francesco Santini
    • 3
    Email author
  1. 1.Centrum Wiskunde & InformaticaAmsterdamNetherlands
  2. 2.Dipartimento di InformaticaUniversity of PisaPisaItaly
  3. 3.Dipartimento di Matematica e InformaticaUniversity of PerugiaPerugiaItaly

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