Characterizing the expressivity of game description languages

Guifei Jiang, Laurent Perrussel, Dongmo Zhang, Heng Zhang, Yuzhi Zhang

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

Bisimulations are a key notion to study the expressive power of a modal language. This paper studies the expressiveness of Game Description Language (GDL) and its epistemic extension EGDL through a bisimulations approach. We first define a notion of bisimulation for GDL and prove that it coincides with the indistinguishability of GDL-formulas. Based on it, we establish a characterization of the definability of GDL in terms of k-bisimulations. Then we define a novel notion of bisimulation for EGDL, and obtain a characterization of the expressive power of EGDL. In particular, we show that a special case of the bisimulation for EGDL can be used to characterize the expressivity of GDL. These characterizations not only justify the notions of bisimulation are appropriate for game description languages, but also provide a powerful tool to identify their expressive power.
Original languageEnglish
Title of host publicationPRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I
PublisherSpringer
Pages597-611
Number of pages14
ISBN (Print)9783030299071
DOIs
Publication statusPublished - 2019
EventPacific Rim International Conference on Artificial Intelligence -
Duration: 13 Sept 2019 → …

Publication series

Name
ISSN (Print)0302-9743

Conference

ConferencePacific Rim International Conference on Artificial Intelligence
Period13/09/19 → …

Keywords

  • artificial intelligence
  • bisimulation
  • computer games

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