TY - JOUR
T1 - Knowledge representation in the TRAINS-93 conversation system
AU - Traum, David R.
AU - Schubert, Lenhart K.
AU - Martin, Nathaniel G.
AU - Hwang, Chung Hee
AU - Heeman, Peter
AU - Ferguson, George
AU - Allen, James F.
AU - Poesio, Massimo
AU - Light, Marc
PY - 1996
Y1 - 1996
N2 - We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.
AB - We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.
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M3 - Article
AN - SCOPUS:0030392172
SN - 0894-9077
VL - 9
SP - 173
EP - 223
JO - International Journal of Expert Systems
JF - International Journal of Expert Systems
IS - 1
ER -