rsonal Learning Apprentice

Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. This is due, in part, to the high cost of developing and maintaining customized knowledge bases. The construction of personal assistants as learning apprentices -interactive assistants that learn continually from their users -is one approach which could dramatically reduce the cost of knowledge-based advisors. We present one such personal learning apprentice, called CAP, which assists in managing a meeting calendar. CAP has been used since June 1991 by a secretary in our work place to manage a faculty member’s meeting calendar, and is the first instance of a fielded learning apprentice in routine use. This paper describes the organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems. knowledge constraints Abstract

[1]  J. Ross Quinlan,et al.  Generating Production Rules from Decision Trees , 1987, IJCAI.

[2]  Tom M. Mitchell,et al.  Interfaces That Learn: A Learning Apprentice for Calendar Management , 1993 .

[3]  Alberta Maria Segre,et al.  Machine Learning of Robot Assembly Plans , 1988 .

[4]  Tom M. Mitchell,et al.  LEAP: A Learning Apprentice for VLSI Design , 1985, IJCAI.

[5]  Yasushi Nakauchi,et al.  Groupware that learns , 1991, [1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings.

[6]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .