Embedding intelligent decision making within complex dynamic environments

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Title: Embedding intelligent decision making within complex dynamic environments
Authors: O'Hare, G. M. P. (Greg M. P.)O'Grady, Michael J.Tynan, RichardMuldoon, ConorKolar, H.R.Ruzzelli, Antonio G.Diamond, DermotSweeney, Eoin
Permanent link: http://hdl.handle.net/10197/1333
Date: Mar-2007
Online since: 2009-07-30T16:06:53Z
Abstract: Decision-making is a complex and demanding process often constrained in a number of possibly conflicting dimensions including quality, responsiveness and cost. This paper considers in situ decision making whereby decisions are effected based upon inferences made from both locally sensed data and data aggregated from a sensor network. Such sensing devices that comprise a sensor network are often computationally challenged and present an additional constraint upon the reasoning process. This paper describes a hybrid reasoning approach to deliver in situ decision making which combines stream based computing with multi-agent system techniques. This approach is illustrated and exercised through an environmental demonstrator project entitled SmartBay which seeks to deliver in situ real time environmental monitoring.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Journal: Artificial Intelligence Review
Volume: 27
Issue: 2-3
Start page: 189
End page: 201
Copyright (published version): Springer Science+Business Media B.V. 2008
Keywords: Intelligent agentsBDI agentsHybrid intelligenceDistributed decision-makingResource bounded reasoningStream computingEnvironmental monitoring
Subject LCSH: Decision making
Intelligent agents (Computer software)
Environmental monitoring--Computer networks
DOI: 10.1007/s10462-008-9089-y
Other versions: http://dx.doi.org/10.1007/s10462-008-9089-y
Language: en
Status of Item: Peer reviewed
ISBN: 0269-2821 (Print)
1573-7462 (Online)
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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