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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Rough Knowledge Databases
verfasst von : Patrick Doherty, Professor, Witold Łukaszewicz, Professor, Andrzej Skowron, Professor, Andrzej Szałas, Professor
Erschienen in: Knowledge Representation Techniques
Verlag: Springer Berlin Heidelberg
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Consider an autonomous system such as a ground robot or an unmanned aerial vehicle operating in a highly complex and dynamic environment. For systems of this sort to function in an intelligent and robust manner, it is useful to have both deliberative and reactive capabilities. Such systems combine the use of reactive and deliberative capabilities in achieving task goals. Reactive capabilities are necessary so the system can react to contingencies which arise unexpectedly and demand immediate response with little room for deliberation as to what the best response should be. Deliberative capabilities are useful in the sense that internal representations of aspects of the system’s operational environment can be used to predict the course of events in the near or intermediate future. These predictions can then be used to determine more selective actions or better responses in the present which potentially save the system time, effort and resources in the course of achieving task goals.