Mixed Initiative Problem-Solving Assistants
Papers from the 2005 AAAI Fall Symposium
David W. Aha and Gheorghe Tecuci, Program Cochairs
Technical Report FS-05-07
Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Sample Citation
Jones, Gareth F. 2005. Integrated Intelligent Knowledge Management. In Mixed Initiative Problem-Solving Assistants: Papers from the 2005 Fall Symposium, ed. G David W. Aha and Gheorghe Tecuci. Technical Report FS-05-07. American Association for Artificial Intelligence, Menlo Park, California.
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
Preface / vii
David W. Aha and Gheorghe Tecuci
A Mixed-Initiative Approach to Rule Refinement for Knowledge-Based Agents / 1
Cristina Boicu, Gheorghe Tecuci, and Mihai Boicu
Mixed-Initiative Assistant for Modeling Expert’s Reasoning / 7
Mihai Boicu, Gheorghe Tecuci, and Dorin Marcu
The Role of Mixed-Initiative Agent Interfaces in Intelligence Analysis: Extended Abstract / 13
L. Karl Branting
Providing Information for Mixed Initiative Interaction via Interoperable User Modeling / 16
David Brokenshire, Vive Kumar, and Jurika Shakya
A Mixed-Initiative Call Center Application for Appliance Diagnostics / 22
William Cheetham
Why Bother about Bother: Is It Worth It to Ask the User? / 26
Robin Cohen, Michael Y.K. Cheng, and Michael W. Fleming
Towards a Reliable Evaluation of Mixed-Initiative Systems / 32
Gabriella Cortellessa and Amedeo Cesta
Adaptive Mixed-Initiative Problem-Solving Assistants to Support Collaborative Work in Flexible Organizations / 40
Sylvie Delprat
Mixed-Initiative in Computer Games: Algorithmic Content Creation in Open-ended Worlds / 46
Liam Doherty, Max Whitney, Jurika Shakya, Mayo Jordanov, Patrick Lougheed,
David Brokenshire, Shilpi Rao, Samir Menon, and Vive Kumar
Recognizing Opportunities for Mixed-Initiative Interactions in Novice Programming / 51
Liam Doherty, Patrick Lougheed, David Brokenshire, Mayo Jordanov,
Shilpi Rao, Jurika Shakya, and Vive Kumar
Mixed-Initiative Dialogue Systems for Collaborative Problem-Solving / 57
George Ferguson and James Allen
A Mixed-Initiative System for Building Mixed-Initiative Systems / 63
Craig A. Knoblock, Pedro Szekely, and Rattapoom Tuchinda
Man-Machine Cooperation in Retrieving Knowledge from Technical Texts / 69
Yves Kodratoff, Adrian Dimulescu, and Ahmed Amrani
Learning through Interactive Behavior Specifications / 75
Tolga Könik, Douglas J. Pearson, and John E. Laird
Towards a Theoretical Framework for the Integration of Dialogue Models into Human-Agent Interaction / 81
John R. Lee and Andrew B. Williams
Applications of Mixed-Initiative Interfaces and Intelligence to Electronic Portfolios / 86
Patrick Lougheed, David Brokenshire, Brittney Bogyo,
Mayo Jordanov, and Vive Kumar
Do Humans Adapt Their Emails So that Agents Can Understand? / 89
Pragnesh Jay Modi, Kerry Hannan, and Manuela Veloso
A Cognitive Framework for Delegation to an Assistive User Agent / 94
Karen Myers and Neil Yorke-Smith
The Importance of Contexts in Mixed-Initiative Interactions for Online Help / 100
Shilpi Rao, Samir Menon, Jurika Shakya, Mayo Jordanov,
Liam Doherty, and Vive Kumar
Collagen: Middleware for Building Mixed-Initiative Problem Solving Assistants / 106
Charles Rich and Candace L. Sidner
Learning Teleoreactive Logic Programs by Observation / 112
Brian Salomaki, Dongkyu Choi, Negin Nejati, and Pat Langley
Recognizing Opportunities for Mixed-Initiative Interactions Based on the Principles of Self-Regulated Learning / 117
Jurika Shakya, Samir Menon, Liam Doherty, Mayo Jordanov, and Vive Kumar
The Design and Implementation of an Intelligent Online Recommender System / 123
Rosario Sotomayor, Joe Carthy, and John Dunnion
Stimulating Preference Expression Using Suggestions / 128
Paolo Viappiani, Boi Faltings, Vincent Schickel Zuber, and Pearl Pu
Conversational Case-Based Reasoning Support for Business Process Management / 134
Barbara Weber and Werner Wild
Multi-Agent Architectures that Facilitate Apprenticeship Learning for Real-Time Decision Making: Minerva and Gerona / 140
David C. Wilkins and David Fried
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