Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Bio-PEPA: An Extension of the Process Algebra PEPA for Biochemical Networks
Electronic Notes in Theoretical Computer Science (ENTCS)
Information fusion for anomaly detection with the dendritic cell algorithm
Information Fusion
Towards a novel immune inspired approach to temporal anomaly detection
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
On immune inspired homeostasis for electronic systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Biological inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Regulatory T cells: inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Revisiting the Foundations of Artificial Immune Systems for Data Mining
IEEE Transactions on Evolutionary Computation
A Biologically Inspired Spiking Neural Network for Sound Source Lateralization
IEEE Transactions on Neural Networks
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In this conceptual paper, we discuss the relevance of cellularsignaling pathways for immune-inspired algorithms. With complexdynamics, the mapping of environment stimuli to cellular responsesis highlighted as a decision making capability. When consideringapplications which could benefit from these dynamics, thepossibility of incorporating these pathways can be an interestingway to combine more biologically-plausible algorithms and improvedperformance. The structure of the NF-κB (NuclearFactor κB) and MAP (Mitogen-activated protein)kinases pathways, and the pathways involved in signaling byToll-like receptors, are presented. As an example, we then considerhow these pathways could be incorporated in the Dendritic CellAlgorithm.