In this paper, we use a graded BDI agent model based on multi-context systems to specify an architecture for a Travel Assistant Agent that helps a tourist to choose holiday packages. We outline the theories of the different contexts and the bridge rules and illustrate the overall reasoning process of our model. © 2006 International Federation for Information Processing.
CITATION STYLE
Casali, A., Godo, L., & Sierra, C. (2006). Modeling travel assistant agents: A graded BDI approach. IFIP International Federation for Information Processing, 217, 415–424. https://doi.org/10.1007/978-0-387-34747-9_43
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