基于agent的地学协同工作模型

An Agent-based Collaboration Model of Geocollaboration

地学协同工作是指群体在一定的环境下(比如地图、虚拟现实空间等)通过相互协作来解决与地学相关的问题,论文首先对地学协同工作及其协作模型的研究现状进行了简单综述,然后提出了基于agent的地学协同工作模型,这种模型以计算主体作为协作过程的最小分解单元,用agent对这种计算主体进行封装,论文阐述了这种协作模型的总体结构和各agent的内部结构,最后对模型的可用性进行了评价。

Geocollaboration is a kind of group work that people take part in together to solve some geographical problems under a certain environment, such as map, virtual reality environment and so on. This article briefly reviews the state of the art of geocollaboration and its collaboration model, then it presents an agent-based collaboration model. Different from other collaboration models＇ decomposing methods （such as the decomposing granularity of Activity Model is activities, and that of Role Model is roles, etc.）, this collaboration model＇s decomposing granularity is computing units, such as geographic models, user avatars, coordination controllers, message transport services, and so on, all these units can be encapsulated by agents. At the end of this paper it assesses the usability of the model, it is proved that agent-based collaboration model can exert the virtues of agent, such as autonomous, reactive, collaborative features as well as its high expansibility.