Acquisition, Learning, and Demonstration: Automating Tasks for Users
Papers from the 1996 AAAI Spring Symposium
Yolanda Gil, Program Chair
Technical Report SS-96-02. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Between Help and Engineering: Constraints On User Task Automation / 1
Joost Breuker and Radboud Winkels
Kasbah: An Agent Marketplace for Buying and Selling Goods / 8
Anthony Chavez and Pattie Maes
Driving Knowledge Acquisition Via Expert Scripted Visualizations / 13
John Domingue
Standardizing the Representations of User Tasks / 20
Martin R. Frank
PBD--The Key To Service Robot Programming / 23
Holder Friedrich, Michael Kaiser, and Rudiger Dillmann
Approaches to Authoring of Rules for Intelligent Agents / 30
Benjamin N. Grosof
The Trust Issue in Task Automation / 33
Robert J. Hall
Some Guidelines for Knowledge Acquisition Strategies / 38
Caroline Hayes, Michael Fu, and Dan Gaines
Training An Agent Through Demonstration: A Plausible Version Space Approach / 45
Michael R. Hieb and Gheorghe Tecaci
Proving Theorems by Mimicking a Human’s Skill / 50
Thomas Kolbe and Christoph Walther
Web-based Planning for Image Processing / 57
Amy L. Lansky
Knowledge Acquisition by Demonstration / 62
Henry Lieberman
Machine Learning In Programming by Demonstration: Lessons Learned from CIMA / 66
David Maulsby and Ian H. Witten
Using Better Communication to Improve Programming by Demonstration / 73
Richard G. McDaniel
Specification-by-Demonstration: The ViCCS Interface / 78
Steven Minion, Andrew Philpot, and Shawn Wolfe
The Demonstrational Interfaces Project at CMU / 85
Brad A. Myers, Francesmary Modugno, Rich McDaniel, David Kosbie, Andrew Werth, Robert C. Miller, John Pane, James Landay, Jade Goldstein, and Matthew A. Goldberg
User Advice to Influence Problem-Solving / 92
Karen L. Myers
APT, A Cooperative ML System / 97
Claire Nedelec
Acquiring Knowledge Relevant to Decision Making / 104
Paul O'Rorke and Max Henrion
Learning From a Domain Expert to Generate Good Plans / 110
M. Alicia Perez
The Mecano Project: Enabling User-Task Automation During Interface Development / 117
Angel R. Puerta
Remembrance Agent: A Continuously Running Automated Information Retrieval System / 122
Bradley J. Rhodes and Thad Starner
Programming Repetitive Tasks in Prolog By Demonstration / 126
Pierre Robincau
Meeting the User’s Intention In Programming By Demonstration Systems / 131
Michael Sassin and Siegfried Bocionek
Advising Your Adaptive Software Agent / 136
Jude Shavlik
Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles / 138
Bill Swarlout and Yolanda Gil
An Environment for Aiding Information-Browsing Tasks / 144
Alan Wezelblat
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