CA-based self-organizing environments

  • Authors:
  • Stefania Bandini;Andrea Bonomi;Giuseppe Vizzari;Vito Acconci

  • Affiliations:
  • Complex Systems and Artificial Intelligence (CSAI) Research Center, Department of Computer Science, Systems and Communication (DISCo), University of Milan--Bicocca, Milan, Italy 20126;Complex Systems and Artificial Intelligence (CSAI) Research Center, Department of Computer Science, Systems and Communication (DISCo), University of Milan--Bicocca, Milan, Italy 20126;Complex Systems and Artificial Intelligence (CSAI) Research Center, Department of Computer Science, Systems and Communication (DISCo), University of Milan--Bicocca, Milan, Italy 20126;Acconci Studio, Brooklyn, USA 11201

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2011
  • Self-organizing virtual macro sensors

    ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms

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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.