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Proceedings Paper

Situation resolution with context-sensitive fuzzy relations
Author(s): Gabriel Jakobson; John Buford; Lundy Lewis
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Paper Abstract

Context plays a significant role in situation resolution by intelligent agents (human or machine) by affecting how the situations are recognized, interpreted, acted upon or predicted. Many definitions and formalisms for the notion of context have emerged in various research fields including psychology, economics and computer science (computational linguistics, data management, control theory, artificial intelligence and others). In this paper we examine the role of context in situation management, particularly how to resolve situations that are described by using fuzzy (inexact) relations among their components. We propose a language for describing context sensitive inexact constraints and an algorithm for interpreting relations using inexact (fuzzy) computations.

Paper Details

Date Published: 19 May 2009
PDF: 8 pages
Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520Q (19 May 2009); doi: 10.1117/12.822315
Show Author Affiliations
Gabriel Jakobson, Altusys Corp. (United States)
John Buford, Avaya Inc. (United States)
Lundy Lewis, Southern New Hampshire Univ. (United States)


Published in SPIE Proceedings Vol. 7352:
Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing
Stephen Mott; John F. Buford; Gabriel Jakobson, Editor(s)

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