Qualitative Reasoning about Perception and Belief
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Diagnosis and Qualitative Reasoning. Pages 508-512.
Abstract
We prese nt a qualitative model for reasoning about perceptions , sensors, and belief, and a logic to reason about this model. Basic to our model is a distinction between precision and accuracy, for both of which we provide qualitative definitions. In our logic this distinction gives rise to two modal operators- ? for actual perception, and Cp for perceptual capability, which is captured as a set of possible percepts . Adding to these operators the standard B operator to model belief, we end up with a logic combining standard Kripke-style semantics with the almost-standard ' neighborhood semantics.' We define various agent types in the logic, from agents who believe all and only what the sensors tell them, to much more skeptical agents. We define each agent both axiomatically and model-theoretically, and provide soundness and completeness results relating the two types of definitions.
@inproceedings{ijcai1997p75,
title = {Qualitative Reasoning about Perception and Belief},
author = {del Val, Alvaro and II, Pedrito Maynard-Reid and Shoham, Yoav},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {508--512},
year = {1997},
note = {Diagnosis and Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1997/75},
}
TY - CPAPER TI - Qualitative Reasoning about Perception and Belief AU - del Val, Alvaro AU - II, Pedrito Maynard-Reid AU - Shoham, Yoav T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 508 EP - 512 UR - https://ijcai.org/proceedings/1997/75 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: