Conflicting rules and rules with exceptions are very common in natural language specification 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. 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. We argue that a very promising non-monotonic approach to such a problem can lie upon Defeasible Logic. 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.We define a procedure to achieve automatic synthesis of best practices, to be used as rules to obtain savings in electric consumptions.

Automatic synthesis of best practices for energy consumptions

TOMAZZOLI, Claudio;CRISTANI, Matteo;OLIVIERI, FRANCESCO
2016

Abstract

Conflicting rules and rules with exceptions are very common in natural language specification 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. 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. We argue that a very promising non-monotonic approach to such a problem can lie upon Defeasible Logic. 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.We define a procedure to achieve automatic synthesis of best practices, to be used as rules to obtain savings in electric consumptions.
978-1-5090-0983-1
Energy savings, Machine learning, Defeasible logic
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/945546
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