Associative memory in artificial immune systems

Barbara Borowik, Bohdan Borowik, Jan Kucwaj, Sophie Laird

Abstract


The paper concentrates on analyzing associative properties of Artificial Immune Systems, especially on immunological memory, which is a member of a class of sparse and distributed associative memories [18]. This class of memories derives its associative and robust nature by sparsely sampling the input space and distributing the data among many independent agents [16]. Immunological memory is one of the defining characteristics of the adaptive immune system [4]. This memory is able to store and recall patterns when it is required, and can easily categorize new input data [11]. Immunological memory is distributed among the cells in the AIS memory population, and is robust, because when a portion of the memory population is lost, the remaining memory cells persist to produce a response. The major principle behind vaccination procedures in medicine and immunotherapy takes its source from associative properties of immunological memory [13]. Associative recall is a general phenomenon of immunological memory [18].

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DOI: http://dx.doi.org/10.17951/ai.2010.10.2.111-122
Data publikacji: 2010-01-01 00:00:00
Data złożenia artykułu: 2016-04-27 16:26:38

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