Sequentially dependent meta-constraint satisfaction problem: An application to video games

Ricardo Soto, Broderick Crawford, Eric Monfroy, Fernando Paredes

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A Constraint Satisfaction Problem (CSP) consists in a sequence of variables holding a domain of possible values and relations among these variables called constraints. A meta-CSP can be seen as a metaproblem whose decomposition leads to a set of CSPs. The meta-variables correspond to sub-problems of the original problem, and a meta-constraint is a relation among those meta-variables. Meta-CSPs find many applications in industry, usually in processes that involve time and actions such as the control of a robot, a manufacturing process, or the scheduling of any common activity. In this paper, we introduce the notion of Sequentially Dependent Meta-CSP (SD Meta-CSP), which extends the meta-CSP in order to support applications where a dependency between sub-problems is mandatory. In this case, the meta-CSP is decomposed into a set of sub-problems {Pi, Pi+1, . . . , Pn}, but the instance of the sub-problem Pi+1 sequentially depends on the solution of the sub-problem Pi . In this work we provide a formal definition for the SD Meta-CSPs, a framework to handle it, and we illustrate its applicability to video games. In particular, we model and implement agents as SD Meta-CSPs able to autonomously play two classic games: Ms. Pac-Man and Super Mario Bros.

Original languageEnglish
Pages (from-to)204-216
Number of pages13
JournalRomanian Journal of Information Science and Technology
Volume17
Issue number2
StatePublished - 2014
Externally publishedYes

Keywords

  • Artificial intelligence
  • Constraint satisfaction problem
  • Video-games

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