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Well scheduling is a complex business process which includes the tasks of planning and execution of locating land, constructing, drilling, completing, and tie-in of a well. In our previous work, a multi-agent based framework was proposed to automate well scheduling, where a challenge was to automate the estimation of the price for the tasks that the oil and gas industries may pay and the service providers...
We describe a multi-agent based context-aware mobile educational game that can generate a series of learning activities for users doing on-the-job training in their working environment. In this paper, we reveal the multi-agent architecture (MAA) that is designed in the mobile educational game. The multi-agent architecture design enables development of a lightweight, flexible, and scalable game on...
This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components dealing with various tasks and heterogeneous distributed resources. Our proposed infrastructure is based on a multi-agent system architecture to integrate various components of the environments. The infrastructure includes a location-...
In peer assessment, the awarding grades might not accurately reflect the students' achievement due to potential rating bias or individual abilities. The proposed methodology aims at aggregating students' ratings to reduce personal bias using agent negotiation. We consider individual learning styles of assessors into the negotiation process and show by an illustrative example and an experiment how...
Teachers working in robotics classes face a major problem: how to keep track on individual students' or even small groups' progress in a class of 30-40 students. A multi-agent environment to help teachers with this problem is based on having pedagogical agents to monitor students' interaction, robots' movements, and the construction and programming process of robots. Mobile interaction agents move...
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