Risk, uncertainty and possible worlds

Wang, X; Williams, MA

Risk, uncertainty and possible worlds

Wang, X

Williams, MA

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011, 2011, pp. 1278 - 1283
Issue Date:: 2011-12-01

Closed Access

	Filename	Description	Size
	06113296.pdf	Published version	265.26 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Wang, X https://orcid.org/0000-0002-7459-1670	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011, 2011, pp. 1278 - 1283	en_US
dc.identifier.isbn	9780769545783	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119763
dc.description.abstract	Risk is an important and ubiquitous concept that plays a crucial role in decision makings across domains. Risk is also a vague notion that carries different meaning under different domain context and perspectives. This paper aims to provide a formal generalised definition of risk based on the possible world paradigm and expected utility theory and the meanings of risk from both qualitative and quantitative level. This definition of risk is developed from the perspective an intelligent agent or information system. It provides a solid theoretical foundation upon which we can construct an intelligent generalised risk modelling and management framework using techniques from Artificial Intelligence research. This framework can be implemented as an integral part of an information system for better decision support and management of businesses. © 2011 IEEE.	en_US
dc.relation.ispartof	Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011	en_US
dc.relation.isbasedon	10.1109/PASSAT/SocialCom.2011.130	en_US
dc.title	Risk, uncertainty and possible worlds	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Risk is an important and ubiquitous concept that plays a crucial role in decision makings across domains. Risk is also a vague notion that carries different meaning under different domain context and perspectives. This paper aims to provide a formal generalised definition of risk based on the possible world paradigm and expected utility theory and the meanings of risk from both qualitative and quantitative level. This definition of risk is developed from the perspective an intelligent agent or information system. It provides a solid theoretical foundation upon which we can construct an intelligent generalised risk modelling and management framework using techniques from Artificial Intelligence research. This framework can be implemented as an integral part of an information system for better decision support and management of businesses. © 2011 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119763