| 主权项 |
1. A method comprising:
monitoring, by a system including a processor and sensors, behavioral characteristics of at least a first machine component; generating, by the system through unsupervised learning, an endogenous and unsupervised Bayesian model that represents interrelations between local events and machine-to-machine interactions between at least the first machine component and at least a further machine component; predicting, by the system using the monitored behavioral characteristics and the generated model, an incongruity of a behavior of at least the first machine component and the machine-to-machine interactions, wherein the incongruity is predicted based on determining a singularity of the local events and the machine-to-machine interactions, and a discordance between a calculated expectation of the system and an observed behavior and the machine-to-machine interactions, and wherein the predicting is performed without using a previously built normative rule of behavior and machine-to-machine interactions; and performing, by the system, an action with respect to at least the first machine component in response to the predicted incongruity. |
