Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
MILA – multilevel immune learning algorithm and its application to anomaly detection
Soft Computing - A Fusion of Foundations, Methodologies and Applications
How Do We Evaluate Artificial Immune Systems?
Evolutionary Computation
Immunological self-tolerance: lessons from mathematical modeling
Journal of Computational and Applied Mathematics - Special issue: Mathematics applied to immunology
Modelling the control of an immune response through cytokine signalling
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Towards a conceptual framework for innate immunity
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Inspiration for the next generation of artificial immune systems
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Application areas of AIS: the past, the present and the future
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
Revisiting the Foundations of Artificial Immune Systems for Data Mining
IEEE Transactions on Evolutionary Computation
On the Relevance of Cellular Signaling Pathways for Immune-Inspired Algorithms
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
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In this conceptual paper, some features of regulatory T cells are described. These cells have been receiving an increasing attention in Immunological research, due to their importance in several aspects of the immune system. As will be argued, these cells constitute an important source of inspiration for developing Artificial Immune Systems, computational tools that attempt to capture some of the characteristics of the natural immune system. It is expected that the incorporation of these cells in some immune inspired algorithms may not only lead to more biologically plausible models, but also to algorithms that can achieve better results in real-life problems.