Lymph node inspired computing: towards holistic immune system inspired algorithms for human-engineered complex systems

University of Oxford, Oxford, Oxfordshire, United Kingdom
DOI
10.7287/peerj.preprints.3150v1
Subject Areas
Computational Biology, Adaptive and Self-Organizing Systems, Agents and Multi-Agent Systems, Autonomous Systems
Keywords
artificial immune systems, Biologically inspired computing, lymph node computing, computational immunology
Copyright
© 2017 Banerjee
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Banerjee S. 2017. Lymph node inspired computing: towards holistic immune system inspired algorithms for human-engineered complex systems. PeerJ Preprints 5:e3150v1

Abstract

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and response network. We introduce biologically inspired computing that uses lymph nodes as inspiration. We outline applications to diverse domains like mobile robots, distributed computing clusters, peer-to-peer networks and online social networks. We argue that lymph node inspired computing systems provide powerful metaphors for distributed computing and complement existing artificial immune systems. We view our work as a first step towards holistic simulations of the immune system that would capture all the complexities and the power of a complex adaptive system like the immune system. Ultimately this would lead to holistic immune system inspired computing that captures all the complexities and power of the immune system in human-engineered complex systems.

Author Comment

This is a preprint submission to PeerJ Preprints.