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   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Perelson, Andrew J., M. Eng. Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 96-97).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">iPlot is an intelligent lighting design assistant. Given a performance space and a set of lighting goals, each specifying an area to be lit and a direction, iPlot explores the space of possible light arrangements in search of solutions that satisfy the goals. It employs a generate, test, and repair strategy in which solutions are generated and tested to see if they satisfy a goal. If a goal failed to be satisfied iPlot uses the explanation of this failure to propose a number of repair suggestions that either modify the solutions or relax the set of goals to form a new goal set. It then carries out these suggestions to create new solutions viewable by the designer as a light plot, a two-dimensional top down view of the performance space, lighting pipes, and lights all drawn to scale. This thesis describes iPlot and an experiment that involved asking a lighting designer to evaluate the light plots that iPlot produced.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Andrew J. Perelson.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
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   	&lt;Abstract>iPlot is an intelligent lighting design assistant. Given a performance space and a set of lighting goals, each specifying an area to be lit and a direction, iPlot explores the space of possible light arrangements in search of solutions that satisfy the goals. It employs a generate, test, and repair strategy in which solutions are generated and tested to see if they satisfy a goal. If a goal failed to be satisfied iPlot uses the explanation of this failure to propose a number of repair suggestions that either modify the solutions or relax the set of goals to form a new goal set. It then carries out these suggestions to create new solutions viewable by the designer as a light plot, a two-dimensional top down view of the performance space, lighting pipes, and lights all drawn to scale. This thesis describes iPlot and an experiment that involved asking a lighting designer to evaluate the light plots that iPlot produced.&lt;/Abstract>
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