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Related papers: SAIS: A Novel Bio-Inspired Artificial Immune Syste…

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A Collaborative Artificial Intelligence System (CAIS) is a cyber-physical system that learns actions in collaboration with humans in a shared environment to achieve a common goal. In particular, a CAIS is equipped with an AI model to…

Software Engineering · Computer Science 2023-11-09 Diaeddin Rimawi , Antonio Lotta , Marco Todescato , Barbara Russo

The immune system is a highly parallel and distributed intelligent system which has learning, memory, and associative capabilities. Artificial Immune System is an evolutionary paradigm inspired by the biological aspects of the immune system…

Cryptography and Security · Computer Science 2011-02-22 Tejbanta Singh Chingtham , G. Sahoo , M. K. Ghose

In a previous paper the authors argued the case for incorporating ideas from innate immunity into articficial immune systems (AISs) and presented an outline for a conceptual framework for such systems. A number of key general properties…

Artificial Intelligence · Computer Science 2016-11-17 Jamie Twycross , Uwe Aickelin

The increased use of AI systems is associated with multi-faceted societal, environmental, and economic consequences. These include non-transparent decision-making processes, discrimination, increasing inequalities, rising energy consumption…

Computers and Society · Computer Science 2023-11-27 Friederike Rohde , Josephin Wagner , Andreas Meyer , Philipp Reinhard , Marcus Voss , Ulrich Petschow , Anne Mollen

A Collaborative Artificial Intelligence System (CAIS) performs actions in collaboration with the human to achieve a common goal. CAISs can use a trained AI model to control human-system interaction, or they can use human interaction to…

Software Engineering · Computer Science 2024-01-24 Diaeddin Rimawi , Antonio Liotta , Marco Todescato , Barbara Russo

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

Global health surveillance is currently facing a challenge of Knowledge Gaps. While general-purpose AI has proliferated, it remains fundamentally unsuited for the high-stakes epidemiological domain due to chronic hallucinations and an…

Multiagent Systems · Computer Science 2026-01-06 Aniket Wattamwar , Sampson Akwafuo

A Collaborative Artificial Intelligence System (CAIS) works with humans in a shared environment to achieve a common goal. To recover from a disruptive event that degrades its performance and ensures its resilience, a CAIS may then need to…

Software Engineering · Computer Science 2023-11-09 Diaeddin Rimawi , Antonio Liotta , Marco Todescato , Barbara Russo

Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The…

Artificial Intelligence · Computer Science 2011-03-11 Tejbanta Singh Chingtham , G. Sahoo , M. K. Ghose

Security in computer networks is one of the most interesting aspects of computer systems. It is typically represented by the initials CIA: confidentiality, integrity, and authentication or availability. Although, many access levels for data…

Networking and Internet Architecture · Computer Science 2015-11-02 Jaderian Morteza , Moradzadeh Hossein , Madadipouya Kasra , Firoozinia Mohammad , Shamshirband Shahaboddin

The Natural Immune System (NIS) is a distributed system that solves challenging search and response problems while operating under constraints imposed by physical space and resource availability. Remarkably, NIS search and response times do…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-18 Soumya Banerjee , Melanie Moses

Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences and workshops have been established and have…

Software Engineering · Computer Science 2022-05-03 Terence Wong , Markus Wagner , Christoph Treude

The real challenge in pattern recognition task and machine learning process is to train a discriminator using labeled data and use it to distinguish between future data as accurate as possible. However, most of the problems in the real…

Machine Learning · Computer Science 2012-08-08 Shafigh Parsazad , Ehsan Saboori , Amin Allahyar

Typical artificial immune system (AIS) operators such as hypermutations with mutation potential and ageing allow to efficiently overcome local optima from which evolutionary algorithms (EAs) struggle to escape. Such behaviour has been shown…

Neural and Evolutionary Computing · Computer Science 2019-03-18 Dogan Corus , Pietro S. Oliveto , Donya Yazdani

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Dipankar Dasgupta

Artificial Immune Systems (AIS) employing hypermutations with linear static mutation potential have recently been shown to be very effective at escaping local optima of combinatorial optimisation problems at the expense of being slower…

Neural and Evolutionary Computing · Computer Science 2019-03-29 Dogan Corus , Pietro S. Oliveto , Donya Yazdani

Artificial Intelligence (AI) techniques are known for its ability in tackling problems found to be unyielding to traditional mathematical methods. A recent addition to these techniques are the Computational Intelligence (CI) techniques…

Neural and Evolutionary Computing · Computer Science 2013-03-01 Wesam Elshamy

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help…

Artificial Intelligence · Computer Science 2010-07-05 Uwe Aickelin , Dipankar Dasgupta

The convergence of artificial intelligence (AI) and synthetic biology is rapidly accelerating the pace of biological discovery and engineering. AI techniques, such as large language models and biological design tools, are enabling the…

Other Quantitative Biology · Quantitative Biology 2024-05-01 Cindy Vindman , Benjamin Trump , Christopher Cummings , Madison Smith , Alexander J. Titus , Ken Oye , Valentina Prado , Eyup Turmus , Igor Linkov