Non-monotonic reasoning rules for energy efficiency
File(s)NonMonotonicReasoningRulesForEnergyEfficiency.pdf (1.33 MB)
Accepted version
Author(s)
Tomazzoli, C
Cristani, M
Karafili, E
Olivieri, F
Type
Journal Article
Abstract
Conflicting rules and rules with exceptions are very common in natural language specification employed to describe the behaviour of devices operating in a real-world context. This is common exactly because those specifications are processed by humans, and humans apply common sense and strategic reasoning about those rules to resolve the conflicts. In this paper, we deal with the challenge of providing, step by step, a model of energy saving rule specification and processing methods that are used to reduce the consumptions of a system of devices, by preventing energy waste. We argue that a very promising non-monotonic approach to such a problem can lie upon Defeasible Logic, following therefore an approach that has shown success in the current literature about usage of this logic for conflict rule resolution and for human–computer interaction in complex systems. Starting with rules specified at an abstract level, but compatibly with the natural aspects of such a specification (including temporal and power absorption constraints), we provide a formalism that generates the extension of a basic Defeasible Logic, which corresponds to turned on or off devices.
Date Issued
2017-04-12
Date Acceptance
2016-12-12
Citation
Journal of Ambient Intelligence and Smart Environments, 2017, 9 (3), pp.345-360
ISSN
1876-1364
Publisher
IOS Press
Start Page
345
End Page
360
Journal / Book Title
Journal of Ambient Intelligence and Smart Environments
Volume
9
Issue
3
Copyright Statement
© 2017 – IOS Press and the authors. All rights reserved.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000401687100007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Telecommunications
Computer Science
Ambient intelligence techniques
intelligent systems
knowledge representation
automatic reasoning
defeasible logic
OPTICAL IP NETWORKS
AMBIENT-INTELLIGENCE
CONSUMPTION
ENVIRONMENT
BUILDINGS
Publication Status
Published