Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over…
An artificial immune system is a system that utilizes some of the engineering of biological immune systems to put together algorithms or technologies that address systemic goals. This may involve mathematical and computer modeling of immune systems, or the abstraction of some immunology-related principles into algorithms.
The idea of artificial immune systems started to develop in the 1980s. Researchers found that the complex human immune system can be a good model for developing machine learning and artificial intelligence results that apply a type of “game theory” to how humans' immune systems work. A 2008 textbook on the subject presents a lot of what has been done in the past, including techniques like clonal selection and dendritic cell algorithms.
On AISWeb, the online home of artificial immune systems, readers can find more information about specific projects, as well as available jobs and internships, and links to international research on the idea of using the immune system to put together new types of artificial intelligence projects.
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Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.
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