Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 3214-3219.
Abstract
Fundamental to reasoning about actions and beliefs is the projection problem: to decide what is believed after a sequence of actions is performed. Progression is one widely applied technique to solve this problem. In this paper we propose a novel framework for computing progression in the epistemic situation calculus. In particular, we model an agent's preferential belief structure using conditional statements and provide a technique for updating these conditional statements as actions are performed and sensing information is received. Moreover, we show, by using the concepts of natural revision and only-believing, that the progression of a conditional knowledge base can be represented by only-believing the revised set of conditional statements. These results lay the foundations for feasible belief progression due to the unique-model property of only-believing.
@inproceedings{ijcai2015p453,
title = {Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus},
author = {Schwering, Christoph and Lakemeyer, Gerhard and Pagnucco, Maurice},
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 = {3214--3219},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/453},
}
TY - CPAPER TI - Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus AU - Schwering, Christoph AU - Lakemeyer, Gerhard AU - Pagnucco, Maurice T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 3214 EP - 3219 UR - https://ijcai.org/proceedings/2015/453 ER -Copied
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