On the Effective Configuration of Planning Domain Models

Vallati, Mauro, Hutter, Frank, Chrpa, Lukáš and McCluskey, T.L. (2015) On the Effective Configuration of Planning Domain Models. In: International Joint Conference on Artificial Intelligence, 25th - 31st July, 2015, Argentina.

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Abstract

The development of domain-independent planners
within the AI Planning community is leading to
“off the shelf” technology that can be used in a
wide range of applications. Moreover, it allows a
modular approach – in which planners and domain
knowledge are modules of larger software applications – that facilitates substitutions or improvements of individual modules without changing the rest of the system. This approach also supports the use of reformulation and configuration techniques, which transform how a model is represented in order to improve the efficiency of plan generation.
In this paper, we investigate how the performance
of planners is affected by domain model configuration. We introduce a fully automated method for this configuration task, and show in an extensive experimental analysis with six planners and seven domains that this process (which can, in principle, be combined with other forms of reformulation and configuration) can have a remarkable impact on performance across planners. Furthermore, studying the obtained domain model configurations can provide useful information to effectively engineer planning domain models.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author Conference
Depositing User:	Mauro Vallati
Date Deposited:	30 Apr 2015 09:34
Last Modified:	30 Mar 2018 17:00
URI:	http://eprints.hud.ac.uk/id/eprint/24352

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