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ThinkMind // SERVICE COMPUTATION 2016, The Eighth International Conferences on Advanced Service Computing // View article service_computation_2016_2_30_10031


Home Lighting System Managed by Practical Reasoning Agents Society

Authors:
Damian Andres Gonzalez Navarro
Gustavo Alejandro Torres Blanco

Keywords: agent; decision-making; energy use rate; home lighting system; user preferences.

Abstract:
The Agent-based Home Lighting Systems have shown good results decreasing electricity consumption and enhancing user comfort. However, there are certain characteristics of agent theory that have not been implemented, or even so, they are done in an inappropriate way. The main goal is to embed intelligent agents on this systems, so that they are capable of automatically decide over household resources use. The collaborative and cooperative decision-making behaviors are aspects of agent theory that may deal with the system management. Unlike regular lighting control systems, agents go beyond inputs refinement and output procurement. Agents have autonomous behavior, which, in the near future, will bring about what is called a Home Automation System as a Multi-Agent System. Previous approaches have designed solutions that divide the control of a lighting system into functional stages and thus assign specialized agents to perform each of them. These approaches distribute the solution but does not apply agent's society approach. This paper describes the functionality and composition of a Home Lighting System Managed by Practical Reasoning Agents and how it improves the weaknesses of other approaches. It does not present implementation results as it is just the architecture, and the implementation is let as future work phase.

Pages: 34 to 41

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-3549

ISBN: 978-1-61208-459-6

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016

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