A computing curriculum wiki : analysis and modelling using the MAS-CommonKADS agent-oriented methodology.

Curriculum development, maintenance and management are time-consuming and labour-intensive activities resulting from countless feedback-rework cycles. The frequency of such activities tends to increase owing to the accelerated nature of advances in Computing. It is proposed that an existing Computing Ontology be adapted to facilitate these activities by developing a common vocabulary for all Computing disciplines to realize an online Curriculum Wiki facility. The operations of the Wiki would be implemented through ontological agents. This article presents insights into the modelling process of various user-initiated Wiki tasks using the MAS-CommonKADS Agent-Oriented Methodology

La Salle Basketball Media Guide 2004-05

https://digitalcommons.lasalle.edu/basketball_media_guides/1067/thumbnail.jp

An Approach to Model Based Testing of Multiagent Systems

Autonomous agents perform on behalf of the user to achieve defined goals or objectives. They are situated in dynamic environment and are able to operate autonomously to achieve their goals. In a multiagent system, agents cooperate with each other to achieve a common goal. Testing of multiagent systems is a challenging task due to the autonomous and proactive behavior of agents. However, testing is required to build confidence into the working of a multiagent system. Prometheus methodology is a commonly used approach to design multiagents systems. Systematic and thorough testing of each interaction is necessary. This paper proposes a novel approach to testing of multiagent systems based on Prometheus design artifacts. In the proposed approach, different interactions between the agent and actors are considered to test the multiagent system. These interactions include percepts and actions along with messages between the agents which can be modeled in a protocol diagram. The protocol diagram is converted into a protocol graph, on which different coverage criteria are applied to generate test paths that cover interactions between the agents. A prototype tool has been developed to generate test paths from protocol graph according to the specified coverage criterion