Indirect and Conditional Sensing in the Event Calculus
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1396-1396.
Abstract
Controlling the sensing of an environment by an agent has been accepted as necessary for it's effective operation. Usually, however, agents operate in partially observable domains where not all parameters of interest are accessible for direct sensing. Sensing actions must then be chosen for what they will reveal indirectly, through an axiomatized model of the domain causal structure. This indirect form of sensing has received somewhat less attention in the literature. This article shows how sensing can be chosen so as to acquire and use indirectly obtained information to meet goals not otherwise possible. Event Calculus is extended with a knowledge formalism, and used to show how inferring unknown information about a domain leads to conditional sensing actions.
@inproceedings{ijcai2003p212,
title = {Indirect and Conditional Sensing in the Event Calculus},
author = {Forth, Jeremy},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1396--1396},
year = {2003},
url = {https://ijcai.org/proceedings/2003/212},
}
TY - CPAPER TI - Indirect and Conditional Sensing in the Event Calculus AU - Forth, Jeremy T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1396 EP - 1396 UR - https://ijcai.org/proceedings/2003/212 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
