Biological Inspiration for Artificial Immune Systems
نویسندگان
چکیده
منابع مشابه
Biological Inspiration for Artificial Immune Systems
Artificial immune systems (AISs) to date have generally been inspired by naive biological metaphors. This has limited the effectiveness of these systems. In this position paper two ways in which AISs could be made more biologically realistic are discussed. We propose that AISs should draw their inspiration from organisms which possess only innate immune systems, and that AISs should employ syst...
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In this conceptual paper, we consider the state of artificial immune system (AIS) design today, and the nature of the immune theories on which they are based. We highlight the disagreement amongst many immunologists regarding the concept of self–non-self discriminations in the immune system, and go on describe on such model that removes altogether the requirement for self–non-self discriminatio...
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Copyright © 2002, Idea Group Publishing. The immune system is highly distributed, highly adaptive, self-organising in nature, maintains a memory of past encounters, and has the ability to continually learn about new encounters. From a computational viewpoint, the immune system has much to offer by way of inspiration. Recently there has been growing interest in the use of the natural immune syst...
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Nature’s general principles can provide biological inspiration for robotic designs. Biological inspiration in the form of genetic programming and algorithms has already shown utility for automated design. However, reliance on evolutionary processes mimicking nature will not necessarily result in designs better than what human engineers can do. Biological evolution is more like a tinkerer than a...
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In this position paper, we argue that the field of Artificial Immune Systems (AIS) has reached an impass. For many years, immune inspired algorithms, whilst having some degree of success, have been limited by the lack of theorectical advances, the adoption of a limited immune inspired approach and the limited application of AIS to hard problems.
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2007
ISSN: 1556-5068
DOI: 10.2139/ssrn.2831297