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On Progression and Query Evaluation in First-Order Knowledge Bases with Function Symbols

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 744-748.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-131

Abstract

In a seminal paper, Lin and Reiter introduced the notion of progression of basic action theories. Unfortunately, progression is second-order in general. Recently, Liu and Lakemeyer improve on earlier results and show that for the local-effect and normal actions case, progression is computable but may lead to an exponential blow-up. Nevertheless, they show that for certain kinds of expressive first-order knowledge bases with disjunctive information, called proper+, it is efficient. However, answering queries about the resulting state is still undecidable. In this paper, we continue this line of research and extend proper+ to include functions. We prove that their progression wrt local-effect, normal actions, and range-restricted theories, is first-order definable and efficiently computable. We then provide a new logically sound and complete decision procedure for certain kinds of queries.

Vaishak Belle, and Gerhard Lakemeyer. 2011. On Progression and Query Evaluation in First-Order Knowledge Bases with Function Symbols. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 744–748. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-131
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