On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 860-865.
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
@inproceedings{ijcai2009p147,
title = {On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond},
author = {Liu, Yongmei and Lakemeyer, Gerhard},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {860--865},
year = {2009},
url = {https://ijcai.org/proceedings/2009/147},
}
TY - CPAPER TI - On First-Order Definability and Computability of Progression for Local-Effect Actions and Beyond AU - Liu, Yongmei AU - Lakemeyer, Gerhard T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 860 EP - 865 UR - https://ijcai.org/proceedings/2009/147 ER -Copied
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