Self-organizing maps
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
A peer-to-peer blacklisting strategy inspired by leukocyte-endothelium interaction
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
A Neuro-Immune Inspired Robust Real Time Visual Tracking System
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
The application of a dendritic cell algorithm to a robotic classifier
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Adaptation in tissue sustained by hormonal loops
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
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A model for integration of low-level responses to damage, potential damage and component failure in robots is presented. This model draws on the notion of inflammation and introduces an extensible, sub-symbolic mechanism for modulating high-level behaviour using the notion of artificial inflammation. Preliminary results obtained via simulation are presented and demonstrate the potential benefits of such a scheme. Additionally the system maps the robot's physiological state-space, which is defined in terms of the levels and sources of inflammatory response. This is achieved using Kohonen's Self-Organizing Map algorithm to arrange the states experienced during the lifetime of the robot. The future use of this map for diagnosis and localization of faults and for the generation of specific high-level remediation behaviour is also discussed.