DocumentCode :
2980456
Title :
A CA-Based Approach to Self-Organized Adaptive Environments: The Case of an Illumination Facility
Author :
Bandini, Stefania ; Bonomi, Andrea ; Vizzari, Giuseppe ; Acconci, Vito ; DeGraaf, Nathan ; Podborseck, Jono ; Clar, James
Author_Institution :
Complex Syst. & Artificial Intell. Res. Center, Univ. degli Studi di Milano - Bicocca, Milan
fYear :
2008
fDate :
20-24 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The ambient intelligence scenario depicts electronic environments that are sensitive and responsive to the presence of people. This paper presents an ambient intelligence system whose goal is to enhance the experience of pedestrians moving inside the related physical environment. In particular, in our approach the environment itself is endowed with a set of sensors that perceive the presence of humans (or other physical entities such as dogs, bicycles, cars) and interact with a set of actuators that choose their actions in an attempt improve the overall experience of these users. The specific scenario of application is the realization an adaptive illumination. The model guiding the interaction and action of sensors and actuators is a dissipative multilayered cellular automata, supporting a self-organization of the system as a response to the presence and movements of people inside it. The paper will introduce the model, as well as the results of simulations of its application in a concrete case study. A brief discussion of the potential use of this model and approach beyond this scenario will conclude the paper.
Keywords :
cellular automata; self-adjusting systems; ubiquitous computing; adaptive environments; adaptive illumination; ambient intelligence; dissipative multilayered cellular automata; illumination facility; Actuators; Ambient intelligence; Artificial intelligence; Bicycles; Conferences; Dogs; Humans; Intelligent sensors; Lighting; Sensor systems; cellular automata; modeling and simulation; self-organization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. Second IEEE International Conference on
Conference_Location :
Venice
Print_ISBN :
978-0-7695-3553-1
Electronic_ISBN :
978-0-7695-3553-1
Type :
conf
DOI :
10.1109/SASOW.2008.46
Filename :
4800644
Link To Document :
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