On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond
Abstract
In a seminal paper, Lin and Reiter introduced the notion of progression for basic action theories in the situation calculus. Unfortunately, progression is not first-order definable in general. Recently, Vassos, Lakemeyer, and Levesque showed that in case actions have only local effects, progression is first-order representable. However, they could show computability of the first-order representation only for a restricted class. Also, their proofs were quite involved. In this paper, we present a result stronger than theirs that for local-effect actions, progression is always first-order definable and computable. We give a very simple proof for this via the concept of forgetting. We also show first-order definability and computability results for a class of knowledge bases and actions with non-local effects. Moreover, for a certain class of local-effect actions and knowledge bases for representing disjunctive information, we show that progression is not only first-order definable but also efficiently computable. Yongmei Liu, Gerhard Lakemeyer
Cite
Text
Liu and Lakemeyer. "On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond." International Joint Conference on Artificial Intelligence, 2009.Markdown
[Liu and Lakemeyer. "On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/liu2009ijcai-first/)BibTeX
@inproceedings{liu2009ijcai-first,
title = {{On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond}},
author = {Liu, Yongmei and Lakemeyer, Gerhard},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2009},
pages = {860-866},
url = {https://mlanthology.org/ijcai/2009/liu2009ijcai-first/}
}