Abstract
In this paper, we detail recent research on agent meta-models. In par-ticular, 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 Analy-sis, against a superset of agent meta-model concepts from the meta-models in-vestigated. A number of features are identified, including human-agent locales and socialworlds, that might be usefully added to a generic AO meta-model. © 2008 Springer Berlin Heidelberg.
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CITATION STYLE
Goschnick, S., Balbo, S., & Sonenberg, L. (2008). ShaMAN: An agent meta-model for computer games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5247 LNCS, pp. 237–245). Springer Verlag. https://doi.org/10.1007/978-3-540-85992-5_22
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