Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition
G. Webb, and J. Wells. Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence (AI'95), page 291-298. Singapore, World Scientific, (1995)
Abstract
Knowledge acquisition remains one of the primary constraints on the development of expert systems. A number of researchers have explored methods for allowing a machine learning system to assist a knowledge engineer in knowledge acquisition. In contrast, we are exploring methods for enabling an expert to directly interact with a machine learning system to collaborate during knowledge acquisition. We report recent extensions to our methodology encompassing a revised model of the role of machine learning in knowledge acquisition; techniques for communication between a machine learning system and a domain expert and novel forms of assistance that a machine learning system may provide to an expert.
%0 Conference Paper
%1 WebbWells95
%A Webb, G. I.
%A Wells, J.
%B Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence (AI'95)
%C Singapore
%D 1995
%E Yao, X.
%I World Scientific
%K Acquisition Experts Knowledge Learning Machine from with
%P 291-298
%T Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition
%X Knowledge acquisition remains one of the primary constraints on the development of expert systems. A number of researchers have explored methods for allowing a machine learning system to assist a knowledge engineer in knowledge acquisition. In contrast, we are exploring methods for enabling an expert to directly interact with a machine learning system to collaborate during knowledge acquisition. We report recent extensions to our methodology encompassing a revised model of the role of machine learning in knowledge acquisition; techniques for communication between a machine learning system and a domain expert and novel forms of assistance that a machine learning system may provide to an expert.
@inproceedings{WebbWells95,
abstract = {Knowledge acquisition remains one of the primary constraints on the development of expert systems. A number of researchers have explored methods for allowing a machine learning system to assist a knowledge engineer in knowledge acquisition. In contrast, we are exploring methods for enabling an expert to directly interact with a machine learning system to collaborate during knowledge acquisition. We report recent extensions to our methodology encompassing a revised model of the role of machine learning in knowledge acquisition; techniques for communication between a machine learning system and a domain expert and novel forms of assistance that a machine learning system may provide to an expert.},
added-at = {2016-03-20T05:42:04.000+0100},
address = {Singapore},
audit-trail = {*},
author = {Webb, G. I. and Wells, J.},
biburl = {https://www.bibsonomy.org/bibtex/25d109ead1a18d32dc44fd51ce9eeeb74/giwebb},
booktitle = {Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence (AI'95)},
editor = {Yao, X.},
interhash = {829a72ba370d6a06076b1683b0e3a1d1},
intrahash = {5d109ead1a18d32dc44fd51ce9eeeb74},
keywords = {Acquisition Experts Knowledge Learning Machine from with},
location = {Canberra, Australia},
pages = {291-298},
publisher = {World Scientific},
timestamp = {2016-03-20T05:42:04.000+0100},
title = {Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition},
year = 1995
}