caa a22 4500 467953244 CHVBK 20180323165703.0 cr unu---uuuuu 170328e19891201xx s 000 0 eng 10.1023/A:1022654722798 doi (NATIONALLICENCE)springer-10.1023/A:1022654722798 (NATIONALLICENCE)springer-10.1007/BF00130716 Gruber Thomas Knowledge Systems Laboratory, Computer Science Department, Stanford University, 94305., Stanford, CA aut Automated Knowledge Acquisition for Strategic Knowledge [Elektronische Daten] [Thomas Gruber] Strategic knowledge is used by an agent to decide what action to perform next, where actions have consequences external to the agent. This article presents a computer-mediated method for acquiring strategic knowledge. The general knowledge acquisition problem and the special difficulties of acquiring strategic knowledge are analyzed in terms of representation mismatch: the difference between the form in which knowledge is available from the world and the form required for knowledge systems. ASK is an interactive knowledge acquisition tool that elicits strategic knowledge from people in the form of justifications for action choices and generates strategy rules that operationalize and generalize the expert's advice. The basic approach is demonstrated with a human-computer dialog in which ASK acquires strategic knowledge for medical diagnosis and treatment. The rationale for and consequences of specific design decisions in ASK are analyzed, and the scope of applicability and limitations of the approach are assessed. The paper concludes by discussing the contribution of knowledge representation to automated knowledge acquisition. Kluwer Academic Publishers, 1989 knowledge acquisition nationallicence knowledge engineering nationallicence human-computer interaction nationallicence strategic knowledge nationallicence knowledge representation nationallicence Machine Learning Kluwer Academic Publishers-Plenum Publishers 4/3-4(1989-12-01), 293-336 0885-6125 4:3-4<293 1989 4 10994 https://doi.org/10.1023/A:1022654722798 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022654722798 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gruber Thomas Knowledge Systems Laboratory, Computer Science Department, Stanford University, 94305., Stanford, CA aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 4/3-4(1989-12-01), 293-336 0885-6125 4:3-4<293 1989 4 10994 NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00130716 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gruber Thomas Knowledge Systems Laboratory, Computer Science Department, Stanford University, 94305, Stanford, CA, USA aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 4/3-4(1989-12-01), 293-336 0885-6125 4:3-4<293 1989 4 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer