Automated Acquisition of Action Knowledge

T. L. McCluskey, S. N. Cresswell, N. E. Richardson, M. M. West

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

AI planning engines require detailed specifications of dynamic knowledge of the domain in which they are to operate, before they can function. Further, they require domain-specific heuristics before they can function efficiently. The problem of formulating domain models containing dynamic knowledge regarding actions is a barrier to the widespread uptake of AI planning, because of the difficulty in acquiring and maintaining them. Here we postulate a method which inputs a partial domain model (one without knowledge of domain actions) and training solution sequences to planning tasks, and outputs the full domain model, including heuristics that can be used to make plan generation more efficient. To do this we extend GIPO's Opmaker system (Simpson et al., 2007) so that it can induce representations of actions from training sequences without intermediate state information and without requiring large numbers of examples. This method shows the potential for considerably reducing the burden of knowledge engineering, in that it would be possible to embed the method into an autonomous program (agent) which is required to do planning. We illustrate the algorithm as part of an overall method to acquire a planning domain model, and detail results that show the efficacy of the induced model.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Agents and Artificial Intelligence
Subtitle of host publicationICAART 2009
EditorsJoaquim Filipe, Ana Fred, Bernadette Sharp
PublisherSciTePress
Pages93-100
Number of pages8
Volume1
ISBN (Print)9789898111661
DOIs
Publication statusPublished - Jan 2009
Event1st International Conference on Agents and Artificial Intelligence - Porto, Portugal
Duration: 19 Jan 200921 Jan 2009
Conference number: 1
http://www.icaart.org/Abstracts/2009/ICAART_2009_Abstracts.htm

Conference

Conference1st International Conference on Agents and Artificial Intelligence
Abbreviated titleICAART 2009
CountryPortugal
CityPorto
Period19/01/0921/01/09
Internet address

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McCluskey, T. L., Cresswell, S. N., Richardson, N. E., & West, M. M. (2009). Automated Acquisition of Action Knowledge. In J. Filipe, A. Fred, & B. Sharp (Eds.), Proceedings of the 1st International Conference on Agents and Artificial Intelligence: ICAART 2009 (Vol. 1, pp. 93-100). SciTePress. https://doi.org/10.5220/0001662500930100