Artificial immune systems
The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distributed task force that has the intelligence to take a...
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| Format: | Book Section |
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Springer
2014
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| Online Access: | https://eprints.nottingham.ac.uk/3345/ |
| _version_ | 1848791005638164480 |
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| author | Aickelin, Uwe Dasgupta, Dipankar Gu, Feng |
| author2 | Burke, Edmund |
| author_facet | Burke, Edmund Aickelin, Uwe Dasgupta, Dipankar Gu, Feng |
| author_sort | Aickelin, Uwe |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. |
| first_indexed | 2025-11-14T18:21:38Z |
| format | Book Section |
| id | nottingham-3345 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:21:38Z |
| publishDate | 2014 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-33452020-05-04T20:16:02Z https://eprints.nottingham.ac.uk/3345/ Artificial immune systems Aickelin, Uwe Dasgupta, Dipankar Gu, Feng The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. Springer Burke, Edmund Kendall, Graham 2014 Book Section PeerReviewed Aickelin, Uwe, Dasgupta, Dipankar and Gu, Feng (2014) Artificial immune systems. In: Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition. Springer, New York, pp. 187-211. ISBN 9781461469391 Artificial Immune Systems http://link.springer.com/chapter/10.1007/978-1-4614-6940-7_7 doi:10.1007/978-1-4614-6940-7_7 doi:10.1007/978-1-4614-6940-7_7 |
| spellingShingle | Artificial Immune Systems Aickelin, Uwe Dasgupta, Dipankar Gu, Feng Artificial immune systems |
| title | Artificial immune systems |
| title_full | Artificial immune systems |
| title_fullStr | Artificial immune systems |
| title_full_unstemmed | Artificial immune systems |
| title_short | Artificial immune systems |
| title_sort | artificial immune systems |
| topic | Artificial Immune Systems |
| url | https://eprints.nottingham.ac.uk/3345/ https://eprints.nottingham.ac.uk/3345/ https://eprints.nottingham.ac.uk/3345/ |