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Related papers: Artificial Immune Systems (INTROS 2)

200 papers

We propose an artificial immune model for intrusion detection in distributed systems based on a relatively recent theory in immunology called Danger theory. Based on Danger theory, immune response in natural systems is a result of sensing…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-30 Mahdi Zamani , Mahnush Movahedi , Mohammad Ebadzadeh , Hossein Pedram

There has been on-going philosophical debate on whether artificial life models, also known as digital organisms, are truly alive. The main difficulty appears to be finding an encompassing and definite definition of life. By examining…

Neural and Evolutionary Computing · Computer Science 2023-02-22 Yong Zher Koh , Maurice HT Ling

We explore the commonalities between methods for assuring the security of computer systems (cybersecurity) and the mechanisms that have evolved through natural selection to protect vertebrates against pathogens, and how insights derived…

Over the last decade, a new idea challenging the classical self-non-self viewpoint has become popular amongst immunologists. It is called the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Steve Cayzer

The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection,…

Artificial Intelligence · Computer Science 2010-07-05 Feng Gu , Uwe Aickelin , Julie Greensmith

Could artificial intelligence ever become truly conscious in a functional sense; this paper explores that open-ended question through the lens of Life, a concept unifying classical biological criteria (Oxford, NASA, Koshland) with empirical…

Artificial Intelligence · Computer Science 2025-02-10 Azadeh Alavi , Hossein Akhoundi , Fatemeh Kouchmeshki

Intelligence can be defined as a predominantly human ability to accomplish tasks that are generally hard for computers and animals. Artificial Intelligence [AI] is a field attempting to accomplish such tasks with computers. AI is becoming…

Artificial Intelligence · Computer Science 2019-05-03 George Cevora

Adversarial attacks against deep neural networks are continuously evolving. Without effective defenses, they can lead to catastrophic failure. The long-standing and arguably most powerful natural defense system is the mammalian immune…

Machine Learning · Computer Science 2020-12-22 Ren Wang , Tianqi Chen , Stephen Lindsly , Alnawaz Rehemtulla , Alfred Hero , Indika Rajapakse

Organ-on-a-chip (OoCs) platforms could revolutionize drug discovery and might ultimately become essential tools for precision therapy. Although many single-organ and interconnected systems have been described, the immune system has been…

In the study of the basic properties observed in the immune system and, in a broader view, in biological systems, several concepts have already been mathematically formulated or treated in an analytical perspective, such as degeneracy,…

Other Quantitative Biology · Quantitative Biology 2008-01-16 Paolo Tieri , Gastone C. Castellani , Claudio Franceschi

Nature has found one method of organizing living matter, but maybe other options exist -- not yet discovered -- on how to create life. To study the life "as it could be" is the objective of an interdisciplinary field called Artificial Life…

Neural and Evolutionary Computing · Computer Science 2021-10-06 Carlos Gershenson , Jitka Cejkova

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of…

Disordered Systems and Neural Networks · Physics 2017-03-20 Elena Agliari , Alessia Annibale , Adriano Barra , A. C. C. Coolen , Daniele Tantari

Many illnesses are associated with an alteration of the immune system homeostasis due to any combination of factors, including exogenous bacterial insult, endogenous breakdown (e.g., development of a disease that results in immuno…

Biological Physics · Physics 2009-06-08 D. Sornette , V. I. Yukalov , E. P. Yukalova , J. -Y. Henry , D. Schwab , J. P. Cobb

Even when concepts similar to emergence have been used since antiquity, we lack an agreed definition. However, emergence has been identified as one of the main features of complex systems. Most would agree on the statement ``life is…

General Physics · Physics 2025-12-22 Carlos Gershenson

Testing and code reviews are known techniques to improve the quality and robustness of software. Unfortunately, the complexity of modern software systems makes it impossible to anticipate all possible problems that can occur at runtime,…

Software Engineering · Computer Science 2021-01-08 Moeen Ali Naqvi , Merve Astekin , Sehrish Malik , Leon Moonen

Network Intrusion Detection Systems (NDIS) monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDS's rely on having access to…

Artificial Intelligence · Computer Science 2010-07-05 Gianni Tedesco , Jamie Twycross , Uwe Aickelin

Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals web…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Tom Morrison , Uwe Aickelin

Most biological rates and times decrease systematically with organism body size. We use an ordinary differential equation (ODE) model of West Nile Virus in birds to show that pathogen replication rates decline with host body size, but…

Quantitative Methods · Quantitative Biology 2010-08-10 Soumya Banerjee , Melanie Moses

Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. Two broad approaches exist to tackle this problem: anomaly detection and misuse detection. An anomaly detection…

Neural and Evolutionary Computing · Computer Science 2012-08-03 Simon T. Powers , Jun He

One of the most important aims of the fields of robotics, artificial intelligence and artificial life is the design and construction of systems and machines as versatile and as reliable as living organisms at performing high level…

Artificial Intelligence · Computer Science 2014-12-24 Hector Zenil
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