A Neutrosophic Framework for Artificial Immune Systems
Artificial immune systems (AIS) draw inspiration from the mechanisms of the natural immune system. They extract ideas from the functioning of the natural immune system in order to use them to build computer models to solve real-world problems. While traditional AIS models mimic the biological immune...
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| Format: | Article |
| Language: | English |
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University of New Mexico
2024-12-01
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| Series: | Neutrosophic Sets and Systems |
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| Online Access: | https://fs.unm.edu/NSS/16FrameworkArtificialImmune.pdf |
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| _version_ | 1849228943444410368 |
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| author | Florentin Smarandache Antonios Paraskevas |
| author_facet | Florentin Smarandache Antonios Paraskevas |
| author_sort | Florentin Smarandache |
| collection | DOAJ |
| description | Artificial immune systems (AIS) draw inspiration from the mechanisms of the natural immune system. They extract ideas from the functioning of the natural immune system in order to use them to build computer models to solve real-world problems. While traditional AIS models mimic the biological immune system’s capacity to distinguish between self and non-self entities, they often face challenges in environments where data may be incomplete or ambiguous. In this paper we introduce neutrosophic AIS that includes degrees of truthiness, falsehood and indeterminacy to better address ambiguity within pattern recognition tasks. Within this neutrosophic framework we discuss and redefine main AIS concepts, including self and non-self categorization, clonal selection, negative selection, and immunological memory. A numerical example, from the field of computer security, illustrates the application of the suggested approach in detecting non-self entities. With the addition of neutrosophic logic, the proposed model significantly enhances AIS’s adaptability and pattern recognition capabilities, addressing uncertainties inherent in real-world applications. |
| format | Article |
| id | doaj-art-7d40c6d695f74ceab4b774d9fdb5437b |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-7d40c6d695f74ceab4b774d9fdb5437b2025-08-22T10:59:58ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2024-12-017420220910.5281/zenodo.14418301A Neutrosophic Framework for Artificial Immune Systems Florentin SmarandacheAntonios ParaskevasArtificial immune systems (AIS) draw inspiration from the mechanisms of the natural immune system. They extract ideas from the functioning of the natural immune system in order to use them to build computer models to solve real-world problems. While traditional AIS models mimic the biological immune system’s capacity to distinguish between self and non-self entities, they often face challenges in environments where data may be incomplete or ambiguous. In this paper we introduce neutrosophic AIS that includes degrees of truthiness, falsehood and indeterminacy to better address ambiguity within pattern recognition tasks. Within this neutrosophic framework we discuss and redefine main AIS concepts, including self and non-self categorization, clonal selection, negative selection, and immunological memory. A numerical example, from the field of computer security, illustrates the application of the suggested approach in detecting non-self entities. With the addition of neutrosophic logic, the proposed model significantly enhances AIS’s adaptability and pattern recognition capabilities, addressing uncertainties inherent in real-world applications.https://fs.unm.edu/NSS/16FrameworkArtificialImmune.pdfneutrosophic logic; artificial immune systemself and non-self categorizationclonal selectionnegative selectionimmunological memorypattern recognition |
| spellingShingle | Florentin Smarandache Antonios Paraskevas A Neutrosophic Framework for Artificial Immune Systems Neutrosophic Sets and Systems neutrosophic logic; artificial immune system self and non-self categorization clonal selection negative selection immunological memory pattern recognition |
| title | A Neutrosophic Framework for Artificial Immune Systems |
| title_full | A Neutrosophic Framework for Artificial Immune Systems |
| title_fullStr | A Neutrosophic Framework for Artificial Immune Systems |
| title_full_unstemmed | A Neutrosophic Framework for Artificial Immune Systems |
| title_short | A Neutrosophic Framework for Artificial Immune Systems |
| title_sort | neutrosophic framework for artificial immune systems |
| topic | neutrosophic logic; artificial immune system self and non-self categorization clonal selection negative selection immunological memory pattern recognition |
| url | https://fs.unm.edu/NSS/16FrameworkArtificialImmune.pdf |
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