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Author Bauters, K. ♦ Weiru Liu ♦ Jun Hong ♦ Godo, L. ♦ Sierra, C.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Syntactics ♦ Data structures ♦ Boolean functions ♦ Semantics ♦ Intelligent systems ♦ Uncertainty ♦ Transforms
Abstract Revising its beliefs when receiving new information is an important ability of any intelligent system. However, in realistic settings the new input is not always certain. A compelling way of dealing with uncertain input in an agent-based setting is to treat it as unreliable input, which may strengthen or weaken the beliefs of the agent. Recent work focused on the postulates associated with this form of belief change and on finding semantical operators that satisfy these postulates. In this paper we propose a new syntactic approach for this form of belief change and show that it agrees with the semantical definition. This makes it feasible to develop complex agent systems capable of efficiently dealing with unreliable input in a semantically meaningful way. Additionally, we show that imposing restrictions on the input and the beliefs that are entailed allows us to devise a tractable approach suitable for resource-bounded agents or agents where reactive ness is of paramount importance.
Description Author affiliation: Queen's Univ. Belfast (QUB), Belfast, UK (Bauters, K.; Weiru Liu; Jun Hong; Godo, L.; Sierra, C.)
ISBN 9781479965724
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-11-10
Publisher Place Cyprus
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 788.95 kB
Page Count 8
Starting Page 154
Ending Page 161


Source: IEEE Xplore Digital Library