Abstract
This paper describes using agents in the exchange of industrial product data when predefined translators are not available. A major problem with standard translators is that a seamless data transfer instantly fails when not every translator implements a mapping into or from the standard format. This is frequently the case for large design projects that involve the use of a multitude of heterogenous tools, possibly in evolving configurations over time. This approach to using agents aims to flexibly provide product models in a form adapted to the need of the particular tools when a common data format is not readily available. Experiments show the feasibility of this approach as well as its efficacy and efficiency.
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Kannengiesser, U., Gero, J.S. (2004). Using Agents in the Exchange of Product Data. In: Bramer, M., Devedzic, V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2004. IFIP International Federation for Information Processing, vol 154. Springer, Boston, MA. https://doi.org/10.1007/1-4020-8151-0_12
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DOI: https://doi.org/10.1007/1-4020-8151-0_12
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