Simulating the use of macro-actions through action reordering

A.I. Coles, A.J. Smith

Research output: Contribution to conferencePaperpeer-review

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The use of macro-actions in planning introduces a trade-off.. Macro-actions can offer search guidance by suggesting sequences of actions; but can potentially make search more expensive by increasing the branching factor. In this paper we present a technique for simulating the use of macro actions by altering the order in which actions are considered for application during enforced hill-climbing search. Actions are ordered based on the number of times they have occurred, in past solution plans, following the last action added to the plan. We demonstrate that the action-reordering technique used can offer improved search performance without the negative performance impacts often observed when using macro-actions.
Original languageEnglish
Number of pages8
Publication statusPublished - 15 Dec 2006
Event25th Workshop of the UK Planning and Scheduling Special Interest Group - Nottingham, United Kingdom
Duration: 14 Dec 200615 Dec 2006


Conference25th Workshop of the UK Planning and Scheduling Special Interest Group
Abbreviated titlePlanSIG 2006
Country/TerritoryUnited Kingdom


  • planning
  • action reordering
  • programming
  • search algorithms
  • artificial intelligence


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