C@sa: Intelligent Home Control and Simulation
Authors: Berardina De Carolis, Giovanni Cozzolongo
Abstract:
In this paper, we present C@sa, a multiagent system aiming at modeling, controlling and simulating the behavior of an intelligent house. The developed system aims at providing to architects, designers and psychologists a simulation and control tool for understanding which is the impact of embedded and pervasive technology on people daily life. In this vision, the house is seen as an environment made up of independent and distributed devices, controlled by agents, interacting to support user's goals and tasks.
Keywords: Ambient intelligence, agent-based systems, influence diagrams.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333728
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[1] AA.VV., (2000), Installazione, programmazione e gestione di Sistema Casa 2000, edizioni Sistema Casa Srl, Milano.
[2] Weiser M. The Computer for the 21st Century. Scientific American, september 1991.
[3] J. Ahola, Introduction: Ambient Intelligence. ERCIM News No.47, October 2001.
[4] Shadbolt N. Ambient Intelligence. IEEE Intelligent Systems.July/August(Vol.18, No.4).
[5] Grill, T. Ibrahim I.K., Kotsis G. Agents for Ambient Intelligence - Support or Nuisance.ÖGAI Journal 23/1.http://www.tk.uni-linz.ac.at/download/oegai_article_final.pdf
[6] Mozer, M. C. (2004). Lessons from an adaptive house. In D. Cook & R. Das (Eds.), Smart environments: Technologies, protocols, and applications. J. Wiley & Sons.
[7] Rao S. and D. J. Cook, Predicting Inhabitant Actions Using Action and Task Models with Application to Smart Homes, International Journal of Artificial Intelligence Tools, 13(1), pages 81-100, 2004.
[8] Lesser, V., Atighetchi, M., Benyo, B. et al.. The UMASS intelligent home project. In Proceedings of the Third Annual Conference on Autonomous Agents, pages 291--298, Seattle, USA, 1999.
[9] Sue Sharples, Vic Callaghan, Graham Clarke. A Multi-Agent Architecture For Intelligent Building Sensing and Control. International Sensor Review Journal, May 1999.
[10] JADE: http://jade.tilab.com/
[11] FIPA: www.fipa.org
[12] de Rosis, F. Pizzutilo, S., De Carolis B.: Formal description and evaluation of user-adapted interfaces. Int. J. Hum.-Comput. Stud. 49(2): 95-120 (1998)
[13] de Rosis, F., De Carolis B., Pizzutilo, S. Automated Generation of Agent Behaviour from Formal Models of Interaction. Advanced Visual Interfaces (2000): 193-200.
[14] Russell, S. and Norvig, P. Artificial Intelligence: a Modern Approach. Prentice Hall.
[15] Belief and Decision Networks Applet: http://www.cs.ubc.ca/labs/lci/CIspace/Version4/bayes/index.html
[16] VRML: http://www.vrmlsite.com/
[17] 17.Fink J. and Kobsa A. (2002): User Modeling in Personalized City Tours. Artificial Intelligence Review 18(1), 33-74.