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Related papers: Artificial Immune Systems (AIS) - A New Paradigm f…

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We apply the Artificial Immune System (AIS) technology to the Collaborative Filtering (CF) technology when we build the movie recommendation system. Two different affinity measure algorithms of AIS, Kendall tau and Weighted Kappa, are used…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Qi Chen , Uwe Aickelin

We combine Artificial Immune Systems 'AIS', technology with Collaborative Filtering 'CF' and use it to build a movie recommendation system. We already know that Artificial Immune Systems work well as movie recommenders from previous work by…

Neural and Evolutionary Computing · Computer Science 2008-05-16 Uwe Aickelin , Qi Chen

Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based on swarm intelligence, biological systems, physical and…

Neural and Evolutionary Computing · Computer Science 2013-07-17 Iztok Fister , Xin-She Yang , Iztok Fister , Janez Brest , Dušan Fister

Deviating from conventional perspectives that frame artificial intelligence (AI) systems solely as logic emulators, we propose a novel program of heuristic reasoning. We distinguish between the 'instrumental' use of heuristics to match…

Artificial Intelligence · Computer Science 2024-03-19 Anirban Mukherjee , Hannah Hanwen Chang

The adaptive immune system's T and B cells can be viewed as large populations of simple, diverse classifiers. Artificial immune systems (AIS) $\unicode{x2013}$ algorithmic models of T or B cell repertoires $\unicode{x2013}$ are used in both…

Neural and Evolutionary Computing · Computer Science 2023-08-08 Gijs Schröder , Inge MN Wortel , Johannes Textor

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

Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techniques that rely on reinforcement learning only. This is…

Artificial Intelligence · Computer Science 2013-05-30 Amanda Whitbrook , Uwe Aickelin , Jonathan M. Garibaldi

Artificial Intelligence (AI) technology epitomizes the complex challenges posed by human-made artifacts, particularly those widely integrated into society and exerting significant influence, highlighting potential benefits and their…

Artificial Intelligence · Computer Science 2025-10-06 Michael Papademas , Xenia Ziouvelou , Antonis Troumpoukis , Vangelis Karkaletsis

Future intelligent autonomous systems (IAS) are inevitably deciding on moral and legal questions, e.g. in self-driving cars, health care or human-machine collaboration. As decision processes in most modern sub-symbolic IAS are hidden, the…

Computers and Society · Computer Science 2020-08-17 Christoph Benzmüller , Bertram Lomfeld

Various studies have shown that immune system inspired hypermutation operators can allow artificial immune systems (AIS) to be very efficient at escaping local optima of multimodal optimisation problems. However, this efficiency comes at…

Neural and Evolutionary Computing · Computer Science 2020-09-03 D. Corus , P. S. Oliveto , D. Yazdani

Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products,…

Computers and Society · Computer Science 2023-03-16 Matthew Burtell , Thomas Woodside

Over the years, research in system identification has provided a rich set of methods for learning dynamical models, together with well-established theoretical guarantees. In practice, however, the choice of model class, training algorithm,…

Artificial Intelligence · Computer Science 2026-05-12 Dario Piga , Marco Forgione

Robot-control designers have begun to exploit the properties of the human immune system in order to produce dynamic systems that can adapt to complex, varying, real-world tasks. Jernes idiotypic-network theory has proved the most popular…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Amanda Whitbrook , Uwe Aickelin , Jonathan Garibaldi

Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Edmund Burke , Aniza Din

Artificial Intelligence (AI) started out with an ambition to reproduce the human mind, but, as the sheer scale of that ambition became manifest, it quickly retreated into either studying specialized intelligent behaviours, or proposing…

Artificial Intelligence · Computer Science 2021-06-17 Alexander Boer , Giovanni Sileno

Artificial Intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives…

Artificial Intelligence · Computer Science 2019-10-11 Vaishak Belle

The rise of Artificial Intelligence (AI) will bring with it an ever-increasing willingness to cede decision-making to machines. But rather than just giving machines the power to make decisions that affect us, we need ways to work…

Computers and Society · Computer Science 2020-12-14 Elisa Bertino , Finale Doshi-Velez , Maria Gini , Daniel Lopresti , David Parkes

Artificial Intelligence (AI) is starting to transform the research process as we know it by automating the discovery of new solutions. Given a task, the typical AI-driven approach is (i) to generate a set of diverse solutions, and then (ii)…

In mobile robotics, a solid test for adaptation is the ability of a control system to function not only in a diverse number of physical environments, but also on a number of different robotic platforms. This paper demonstrates that a set of…

Neural and Evolutionary Computing · Computer Science 2013-06-03 Amanda Whitbrook , Uwe Aickelin , Jonathan M. Garibaldi

AI systems increasingly support human decision-making. In many cases, despite the algorithm's superior performance, the final decision remains in human hands. For example, an AI may assist doctors in determining which diagnostic tests to…

Artificial Intelligence · Computer Science 2026-02-20 Gali Noti , Kate Donahue , Jon Kleinberg , Sigal Oren