Coles, A.I. and Smith, A.J. (2006) Simulating the use of macro-actions through action reordering. In: 25th Workshop of the UK Planning and Scheduling Special Interest Group, 2006-12-14 - 2006-12-15.
Download (128kB) | Preview
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||planning, action reordering, programming, search algorithms, artificial intelligence, Electronic computers. Computer science, Computer software|
|Subjects:||Science > Mathematics > Electronic computers. Computer science
Science > Mathematics > Computer software
|Department:||Faculty of Science > Computer and Information Sciences|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||27 Apr 2007|
|Last modified:||16 Dec 2016 23:52|