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An intrusion response decision-making model based on hierarchical task network (HTN) planning is presented in the paper.
To address this problem, the conditional temporal hierarchical task network (HTN) planning with uncertain durations should be investigated.
Finally, the proposed model explicitly represents the starting and ending time of all tasks in the task network to provide complete temporal flexibility.
Hierarchical task network (HTN) based planning techniques have been applied to the problem of composing Web Services, especially when described using the OWL-S service ontologies.
BioDKM is designed and implemented with several components, in terms of human knowledge, workflow (WF), hierarchical task network (HTN), and planner.
A decision-making model is developed to generate these domain-specific action plans automatically based on integrating hierarchical task network (HTN) planning and scheduling technologies.
Similar(42)
A methodology for the generation of task networks is presented.
The cake wash and task networks are modelled using disjunctive programming and then converted into a mixed integer program.
The cake wash and task networks are modeled using disjunctive programming and then converted into a mixed-integer program.
Task networks describe the goals and subsequent tasks being performed within the system.
The mathematical representation follows the resource-task network (RTN) formulation.
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