Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Distributed revision of composite beliefs
Artificial Intelligence
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Theoretical advances in artificial immune systems
Theoretical Computer Science
An evolutionary approach to system-level fault diagnosis
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A survey of comparison-based system-level diagnosis
ACM Computing Surveys (CSUR)
Challenges for artificial immune systems
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Immunising automated teller machines
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Handling disruptions in manufacturing systems: An immune perspective
Engineering Applications of Artificial Intelligence
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We propose a concept of active diagnosis that differs from the conventional passive (i.e. event-driven) diagnosis in temporal (diagnosis is carried out by always monitoring normal condition as opposed to identifying faulty only when abnormal condition is detected) sense as well as spatial (diagnosis is carried out by agents distributed in the sensor network) sense. As one way of realizing active diagnosis, we present immunity-based agents approach based on the self creating, monitoring, and maintaining feature of immune systems. We apply the approach to process diagnosis where the agents are defined on the sensor network. Each agent corresponding to sensor or process constraint evaluates a kind of reliability by communicating other agents. System level recognition of sensor/process fault can be attained by continuously and mutually monitoring and maintaining consistency among sensor values and process constraints.