The phrase "advisory agent" is correct and usable in written English.
It can be used in contexts where someone is providing advice or guidance, often in a professional or formal setting.
Example: "The advisory agent provided valuable insights during the consultation process."
Alternatives: "consultative agent" or "advising representative".
Also, an improvement activity will be proposed by an advisory agent to this learner by providing additional resources to consult.
In Section 2, we formulate the problem of detecting FDI attacks, in which the advisory agent has an unlimited number of resources at its disposal.
This plan is produced by an advisory agent that will propose an ordering of modules A, B and C, according to the results of module 0. For the advanced subgroup for example, module B can be skipped; for the intermediate subgroup, module B is proposed after module C as enrichment; for the novice group, module A, B and C are done in that sequential order.
Figure 7 A MOOC's learning scenario (in TELOS editor) with subgroups creation and five advisory agents.
For each of module A, B, C and D, the activities and the resources proposed to learners will differ from one subgroup to the other, according to the recommendations of the corresponding advisory agents.
Finally, to conclude the adaptation process, the design team will use a scenario editor to insert recommenders or advisory agents for critical modules, activities or resources in the course scenario in a way similar to the previous sections.
Secondly, we integrate advisory agents as in the example of sections "Competency referencing of learning scenario components" and "Recommendations based on competency comparison" to recommend adapted activities and resources to individual learners, whatever their subgroup.
In section "Recommendations based on competency comparison", we present the definition of rule-based advisory agents, where the competency relations defined in section "Competency comparison" are used into the rules' conditions.
The process planner is designed to interact with a conventional generative planner (optimizing machining time and quality factors) as an advisory environmental "agent".
Four of the five (all but Fegan) are part of an agent advisory committee that the union consults on a regular basis.
At first operating only in an advisory role, the agents on the task force now engage directly in investigative work, helping to teach their methods to Iraqi investigators.
