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Non-monotonic reasoning rules for energy efficiency
Author(s) -
Claudio Tomazzoli,
Matteo Cristani,
Erisa Karafili,
Francesco Olivieri
Publication year - 2017
Publication title -
journal of ambient intelligence and smart environments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.381
H-Index - 29
eISSN - 1876-1372
pISSN - 1876-1364
DOI - 10.3233/ais-170434
Subject(s) - computer science , defeasible estate , formalism (music) , expressive power , rule of inference , monotonic function , resolution (logic) , theoretical computer science , artificial intelligence , art , musical , mathematical analysis , mathematics , visual arts
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

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