Realtime Online Solving of Quantified CSPs

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

We define Realtime Online solving of Quantified Constraint Satisfaction Problems (QCSPs) as a model for realtime online CSP solving. We use a combination of propagation, lookahead and heuristics and show how all three improve performance. For adversarial opponents we show that we can achieve promising results through good lookahead and heuristics and that a version of alpha beta pruning performs strongly. For random opponents, we show that we can frequently achieve solutions even on problems which lack a winning strategy and that we can improve our success rate by using Existential Quantified Generalised Arc Consistency, a lower level of consistency than SQGAC, to maximise pruning without removing solutions. We also consider the power of the universal opponent and show that through good heuristic selection we can generate a significantly stronger player than a static heuristic provides.

Original languageEnglish
Title of host publicationPrinciples and Practice of Constraint Programming - CP 2009 - 15th International Conference, CP 2009, Proceedings
Pages771-786
Number of pages16
DOIs
Publication statusPublished - 2009
Event15th International Conference on Principles and Practice of Constraint Programming, CP 2009 - Lisbon, Portugal
Duration: 20 Sep 200924 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5732 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Principles and Practice of Constraint Programming, CP 2009
Country/TerritoryPortugal
CityLisbon
Period20/09/0924/09/09

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