On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 2955-2962.
Abstract
In a seminal paper, Lin and Reiter introduced the notion of progression for basic action theories in the situation calculus. Recently, Fang and Liu extended the situation calculus to account for multi-agent knowledge and belief change. In this paper, based on their framework, we investigate progression of both belief and knowledge in the single-agent propositional case. We first present a model-theoretic definition of progression of knowledge and belief. We show that for propositional actions, i.e., actions whose precondition axioms and successor state axioms are propositional formulas, progression of knowledge and belief reduces to forgetting in the logic of knowledge and belief, which we show is closed under forgetting. Consequently, we are able to show that for propositional actions, progression of knowledge and belief is always definable in the logic of knowledge and belief.
@inproceedings{ijcai2015p418,
title = {On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus},
author = {Fang, Liangda and Liu, Yongmei and Wen, Ximing},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2955--2962},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/418},
}
TY - CPAPER TI - On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus AU - Fang, Liangda AU - Liu, Yongmei AU - Wen, Ximing T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2955 EP - 2962 UR - https://ijcai.org/proceedings/2015/418 ER -Copied
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