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Computers, Art and Smart Rooms: A Smart Picture Frame that Senses the Weather and Genetically Evolves Images
Marisa E. Kolodny
Dartmouth PCS-TR99-354

Abstract: By using sensors to sense the environment and genetic programming to evolve images, this thesis explores two methods for developing smart pictures that can be integrated with a living space. The system presented senses the weather and indoor conditions, displays current weather and forecast information retrieved from the web, and displays genetically evolved images. Sensing the weather not only provides the user with information they might find useful, but also allows the computer to gain a better understanding of the user which in turn allows the computer to respond more accurately. Genetic programming allows the computer to better respond to its environment by evolving fitter programs.

Note: Undergraduate Honors Thesis. Advisor: Daniela Rus.

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   Marisa E. Kolodny, "Computers, Art and Smart Rooms: A Smart Picture Frame that Senses the Weather and Genetically Evolves Images." Dartmouth Computer Science Technical Report PCS-TR99-354, June 1999.

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