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CA-based self-organizing environments

The case of a configurable adaptive illumination facility

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Abstract

The term Ambient Intelligence (AmI) refers to electronic environments that are sensitive and responsive to the presence of people; in this paper, an example of AmI system whose goal is to enhance the experience of pedestrians moving inside the related physical environment will be presented. The environment is endowed with a set of sensors (to perceive humans or other physical entities such as dogs, bicycles, etc.), interacting with a set of actuators (lights). The model for 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.

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References

  1. Abelson H, Allen D, Coore D, Hanson C, Homsy G, Knight TF Jr, Nagpal R, Rauch E, Sussman GJ, Weiss R (2000) Amorphous computing. Commun ACM 43(5):74–82

    Article  Google Scholar 

  2. Bandini S, Mauri G (1999) Multilayered cellular automata. Theor Comput Sci 217(1):99–113

    Article  MATH  MathSciNet  Google Scholar 

  3. Bandini S, Erbacci G, Mauri G (1999) Implementing cellular automata based models on parallel architectures: the capp project. In: Malyshkin VE (ed) PaCT. Lecture notes in computer science, vol 1662. Springer, Berlin, pp 167–179

    Google Scholar 

  4. Bandini S, Mauri G, Pavesi G, Simone C (2001) Parallel simulation of reaction-diffusion phenomena in percolation processes: a model based on cellular automata. Future Gener Comput Syst 17(6):679–688

    Article  MATH  Google Scholar 

  5. Butera W (2007) Text display and graphics control on a paintable computer. In: SASO [1], pp 45–54

  6. Filho AES, Lupu EC, Dulay N, Keoh SL, Twidle KP, Sloman M, Heeps S, Strowes S, Sventek J (2007) Towards supporting interactions between self-managed cells. In: SASO [1], pp 224–236

  7. Gutowitz H (1991) Cellular automata: theory and experiment. MIT Press/Bradford Books, Cambridge. ISBN 0-262-57086-6

    MATH  Google Scholar 

  8. IEEE (2007) In: Proceedings of the first international conference on self-adaptive and self-organizing systems, SASO 2007, Boston, MA, USA, July 9–11, 2007. IEEE Computer Society, Los Alamitos

    Google Scholar 

  9. Shadbolt N (2003) Ambient intelligence. IEEE Intel Syst 18(4):2–3

    Article  Google Scholar 

  10. Yamins D, Nagpal R (2008) Automated global-to-local programming in 1-d spatial multi-agent systems. In: AAMAS ’08: proceedings of the 7th international joint conference on autonomous agents and multiagent systems. International Foundation for Autonomous Agents and Multiagent Systems, Richland, pp 615–622

    Google Scholar 

  11. Zambonelli F, Mamei M, Roli A (2002) What can cellular automata tell us about the behavior of large multi-agent systems? In: Garcia AF, de Lucena CJP, Zambonelli F, Omicini A, Castro J (eds) SELMAS. Lecture notes in computer science, vol 2603. Springer, Berlin, pp 216–231

    Google Scholar 

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Correspondence to Giuseppe Vizzari.

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Bandini, S., Bonomi, A., Vizzari, G. et al. CA-based self-organizing environments. J Supercomput 57, 109–120 (2011). https://doi.org/10.1007/s11227-010-0393-3

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  • DOI: https://doi.org/10.1007/s11227-010-0393-3

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