Associative memory in artificial immune systems

Authors:
Barbara Borowik;Bohdan Borowik;Jan Kucwaj;Sophie Laird
Affiliations:
Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland;University of Bielsko-Biala, Willowa 2, 43-309 Bielsko Biala, Poland;Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland;Towson University, 8000 York Road, Towson, Maryland, USA
Venue:
Annales UMCS, Informatica
Year:
2010

Citing 2
Cited 1

Sparse distributed memory and related models

Associative neural memories
Fundamentals of Natural Computing (Chapman & Hall/Crc Computer and Information Sciences)

Fundamentals of Natural Computing (Chapman & Hall/Crc Computer and Information Sciences)

An associative memory based on the immune networks: perspectives on internal image with antibody dynamics

BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems

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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].