Abstract
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.
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© 2006 International Federation for Information Processing
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Casali, A., Godo, L., Sierra, C. (2006). Modeling Travel Assistant Agents: a graded BDI approach. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice. IFIP AI 2006. IFIP International Federation for Information Processing, vol 217. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34747-9_43
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DOI: https://doi.org/10.1007/978-0-387-34747-9_43
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34654-0
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