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Approximate Processing for Real-Time Problem-Solving in Phoenix: A Beginning
This report focuses on the problem of developing real-time problem-solving capabilities which will yield the best possible solution given the available time and computational resources. The research was part of a project called Phoenix, which aims to develop intelligent real-time planners for fighti...
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Format: | Report |
Language: | English |
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Online Access: | Request full text |
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Summary: | This report focuses on the problem of developing real-time problem-solving capabilities which will yield the best possible solution given the available time and computational resources. The research was part of a project called Phoenix, which aims to develop intelligent real-time planners for fighting simulated forest fires. Phoenix is designed to be a testbed for experiments in distributed control, which is one of the key characteristics of battlefield planning. The report describes research focused on: a) adapting the elements of approximate processing, which have been developed for distributed knowledge-based signal interpretation, to a planning problem having striking similarities to those observed in battlefield planning, and b) developing an approach for evaluating architectures for such real-time planning systems through the use of hypothesis testing, experiment design and statistical analysis. |
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