ShaMAN: An Agent Meta-model for Computer Games

摘要

In this paper, we detail recent research on agent meta-models. In particular, we introduce a new agent meta-model called ShaMAN, created with a specific focus on computer game development using agent systems. ShaMAN was derived by applying the concept of Normalisation from Information Analysis, against a superset of agent meta-model concepts from the meta-models investigated. A number of features are identified, including human-agent locales and socialworlds, that might be usefully added to a generic AO meta-model.