One for all and all in one: a learner modelling server in a multi-agent platform
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Abstract
. For the past few years several research teams have been developing intelligent learning environments (ILE) based on multi-agent architectures. For such type of architectures to be possible, the agents must have specific roles in the architecture and must be able to communicate in between them. To handle such needs, we have established a generic multi-agent architecture - the Pedagogical Agents Communication Framework (PACF). In PACF a set of agents were defined, their roles established, and their communication infrastructure built. Such communication infrastructure is based on a subset of the KQML language. There are two main general agents in PACF: the Server that acts both as a facilitator in the KQML sense and as an application-independent name server; and a Learner Modelling Server (LMS). The LMS can be used by several applications (composed by several agents) and each one can adapt the modelling strategy to its needs through the parameterisation of three configuration...
