Abstract
In this paper, instead of designing an automation system that is intended to replace a human operator completely with it and to exclude him/her out of the loop, we introduce an idea of an interface agent as a sophisticated associate for a human operator. Since its decision making style must be close to the human’s proficient naturalistic decision making, we formalize its resource-bounded reasoning under critical time pressure by joining a machine learning method for concept induction and a classical decision theory.
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© 2000 IFIP International Federation for Information Processing
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Sawaragi, T., Ogura, T. (2000). Concept Sharing between Human and Interface Agent under Time Criticality. In: Camarinha-Matos, L.M., Afsarmanesh, H., Erbe, HH. (eds) Advances in Networked Enterprises. BASYS 2000. IFIP — The International Federation for Information Processing, vol 53. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35529-0_25
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DOI: https://doi.org/10.1007/978-0-387-35529-0_25
Publisher Name: Springer, Boston, MA
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