Proceedings:
Satisficing Models
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Satisficing Models
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Abstract:
The work described here concerns situational modeling in the support of dynamic decision making when planning in the driving domain. When resources are constrained, sensing and reasoning can be dynamically prioritised by evaluating which part of an agent’s situational model most needs updating to support the agent’s activities. A probabilistic network approach is used to competatively prioritise modelling requirements.
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Satisficing Models