Abstract
Adaptive data is characterised by its ability to react to changes in the environment. Such data frequently occurs in Artificial Intelligence applications where the knowledge base may alter dynamically to adapt to new stimuli. Such systems are usually written in typeless, dynamically bound languages. Here we describe the concept of persistence and show how it may also be used in conjunction with a strong type system employing flexible binding mechanisms to construct adaptive systems. This has the advantage of greater static checking with all of its attendant benefits, without losing flexibility.
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7. References
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© 1990 Springer-Verlag Berlin Heidelberg
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Morrison, R., Dearle, A., Marlin, C.D. (1990). Adaptive data stores. In: Barter, C.J., Brooks, M.J. (eds) AI '88. AI 1988. Lecture Notes in Computer Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52062-7_81
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DOI: https://doi.org/10.1007/3-540-52062-7_81
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