ENVIRONMENT-CENTERED DESIGN WITH MULTIAGENT SYSTEMS

, min, max); - possibility to display the current state of the system; - possibility to display a chart with recorded values for all considered parameters; - possibility to inform about overflow of parameter values; - possibility to create a file with history of data. The considered parameters are: temperature, relative humidity, CO2 concentration, O2 concentration, luminosity, pH soil. After application starts, the first window that appears offers the user the possibility to adjust the parameter values. Fig. 5. The window with parameter values These values are permanently compared with data received from sensors. If the reference value isn’t between minimum and maximum values, then the user receives an error message. After user sets the parameter values and chooses “Start simulation” the main application window appears. Fig. 6. The main application window Each parameter has a chart with data history and a message box which communicates the current state. If the parameter value is out of data then a red message appears in communication box to warn the human operator. The data received from sensors are simulated using a random function which generates in time overflow values. Another possibility of the user is to save data as a XML file using Alt+F option. Fig. 7. The XML saved file

CONCLUSION It is known that the behavior of environment systems is hard to predict, not only because the system is highly distributed, but also because the system is exposed to the impact of human interaction. In this paper, along with an environment-centered design, we propose a communication-centered design, where participatory technologies are applied to confirm the adequateness of embedded systems with environment impact. ACKNOWLEDGEMENTS The author thanks to Diana Diaconescu, Catalin Teodorescu and Denisa Branzila for discussing and contributing to this work. REFERENCES Decker K.S. (1996), Task environment centered simulation, Computational Models of Institutions and Groups, AAAI Press. Parunak H.V.D., Applications of distributed artificial intelligence in industry, Foundations of Distributed Intelligence. Russell S.J., Norvic P. (1995), Artificial intelligence –A Modern Approach, Englewood Cliffs, NJ: Prentice Hall Bing B. (2002), Wireless Local Area Networks: The New Wireless Revolution, Hardcover http://www.networkworld.com/newsletters/web http://wireless.industrial-networking.com/media/IEB2007media.pdf