Artificial immune system agent model
The Artificial Immune Systems (AIS) is a biologically inspired techniques that emulates a natural system, in particular the vertebrate immune system, in order to develop computational tools for solving engineering problems.Immunity-based technique emerge as a new branch of artificial intelligence (A...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Online Access: | https://repo.uum.edu.my/id/eprint/13599/1/14.pdf |
| _version_ | 1803626629570756608 |
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| author | Che Doi, Siti Mazura Md Norwawi, Norita |
| author_facet | Che Doi, Siti Mazura Md Norwawi, Norita |
| author_sort | Che Doi, Siti Mazura |
| collection | UUM |
| description | The Artificial Immune Systems (AIS) is a biologically inspired techniques that emulates a natural system, in particular the vertebrate immune system, in order to develop computational tools for solving engineering problems.Immunity-based technique emerge as a new branch of artificial intelligence (AI).The human biological immune system has become the source of inspiration for developing intelligent problem-solving techniques.The powerful information processing capabilities of the human system, such as feature extraction, pattern extraction, learning, memory and its distributive nature provide rich metaphors for its artificial counterpart. Hence, the goal of this study is to develop an Artificial Immune System (AIS) model using agent approach for incremental learning.The main issue handled was how to integrate a multiagent system into
an AIS application.This model proposed was simulated using cases for the performance measurement.The step by step activities performed in developing the agent based AIS model can be a guideline in developing an AIS application.
Besides that, the simulation of the AIS model can be further enhanced to be used for teaching and learning purposes. |
| first_indexed | 2024-07-04T05:53:12Z |
| format | Conference or Workshop Item |
| id | uum-13599 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:53:12Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | uum-135992015-04-07T03:32:46Z https://repo.uum.edu.my/id/eprint/13599/ Artificial immune system agent model Che Doi, Siti Mazura Md Norwawi, Norita QA76 Computer software The Artificial Immune Systems (AIS) is a biologically inspired techniques that emulates a natural system, in particular the vertebrate immune system, in order to develop computational tools for solving engineering problems.Immunity-based technique emerge as a new branch of artificial intelligence (AI).The human biological immune system has become the source of inspiration for developing intelligent problem-solving techniques.The powerful information processing capabilities of the human system, such as feature extraction, pattern extraction, learning, memory and its distributive nature provide rich metaphors for its artificial counterpart. Hence, the goal of this study is to develop an Artificial Immune System (AIS) model using agent approach for incremental learning.The main issue handled was how to integrate a multiagent system into an AIS application.This model proposed was simulated using cases for the performance measurement.The step by step activities performed in developing the agent based AIS model can be a guideline in developing an AIS application. Besides that, the simulation of the AIS model can be further enhanced to be used for teaching and learning purposes. 2011 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13599/1/14.pdf Che Doi, Siti Mazura and Md Norwawi, Norita (2011) Artificial immune system agent model. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. http://www.icoci.cms.net.my |
| spellingShingle | QA76 Computer software Che Doi, Siti Mazura Md Norwawi, Norita Artificial immune system agent model |
| title | Artificial immune system agent model |
| title_full | Artificial immune system agent model |
| title_fullStr | Artificial immune system agent model |
| title_full_unstemmed | Artificial immune system agent model |
| title_short | Artificial immune system agent model |
| title_sort | artificial immune system agent model |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13599/1/14.pdf |
| work_keys_str_mv | AT chedoisitimazura artificialimmunesystemagentmodel AT mdnorwawinorita artificialimmunesystemagentmodel |