Abstract
A variety of case memory organisations and case retrieval techniques have been proposed in the literature. Each of these has different features which can affect how useful they are for different applications. However, in applications which are likely to hold very large numbers of cases, which are highly volatile, and the structure of which is poorly understood, most of the current approaches are unsuitable.
In this paper we present a novel approach to case memory organisation and case retrieval based on metaphors taken from the human immune system. We illustrate how the immune system is inherently case based and how it relies on its content addressable memory, and a general pattern matcher, to help it identify new antigens (new situations) which are similar to old antigens (past cases). We construct a case memory based on the immune system theory and show how its pattern recognition, learning and memory operations can support CBR.
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Hunt, J.E., Cooke, D.E., Holstein, H. (1995). Case memory and retrieval based on the immune system. In: Veloso, M., Aamodt, A. (eds) Case-Based Reasoning Research and Development. ICCBR 1995. Lecture Notes in Computer Science, vol 1010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60598-3_19
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DOI: https://doi.org/10.1007/3-540-60598-3_19
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