Challenges to Decision Support in a Changing World
Papers from the 2005 AAAI Spring Symposium
Marek J. Druzdzel and Tze-Yun Leong, Program Cochairs
Technical Report SS-05-02. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
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Contents
Organizing Committee / iii
Marek J. Druzdzel and Tze-Yun Leong
Preface / vii
Marek J. Druzdzel and Tze-Yun Leong
Adaptive Plan Monitoring Systems for Military Decision Support / 1
James P. Allen and John M. McCormick
Interactive Decision Support for Open Systems / 3
Steven C. Bankes
An Adaptive Decision Support System for Risk Management in Haemodialysis Departments / 10
C. Cornalba, R. Bellazzi, S. Quaglini, R. G. Bellazzi, and M. Stefanelli
Adaptive Decision Support for Planning under Hard and Soft Constraints / 17
Alex Dekhtyar, Raphael Finkel, Judy Goldsmith, Beth Goldstein, and Cynthia Isenhour
Agile Preference Models Based on Soft Constraints / 23
Boi Faltings, Pearl Pu, and Jiyong Zhang
A Knowledge System for Decision Support in the “Digital Oil Field” / 29
Roar Fjellheim
PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support / 32
Francis Fung, Kathryn Laskey, Mike Pool, Masami Takikawa, and Ed Wright
Integration of Probabilistic Graphic Models for Decision Support / 40
Chang-an Jiang, Kim-leng Poh, and Tze-yun Leong
Challenges in an Adaptive Modeling Framework for Systems Biology / 48
Rohit Joshi and Tze Yun Leong
When Will Advanced Driver Support Systems be User-Adaptive? The Case of Adaptive Cruise Control / 54
Rita Kovordányi
Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories / 60
Kurt D. Krebsbach and David J. Musliner
A Framework to Learn Bayesian Network from Changing, Multiple-Source Biomedical Data / 66
Guoliang Li and Tze-Yun Leong
Mechanism-based Causal Models for Adaptive Decision Support / 73
Tsai-Ching Lu and Marek J. Druzdzel
Recompiling Utility Functions in a Changing World / 80
Michael McGeachie
COORDINATORs: Future Directions / 86
John Phelps
Detecting and Adapting to Change in User Preference / 87
Angelo Restificar, Peter Haddawy, and John Miyamoto
Adapting an Hypertension Home-Monitoring System to the Patient’s Cardiovascular Risk / 95
Carla Rognoni, Toni Giorgino, Silvana Quaglini, Mario Stefanelli, Eugenia Marchesi, and Jordan Baccheschi
User-Adapted Clinical Decision Support Systems / 101
Andrea Sboner, Riccardo Bellazzi, Paolo Carli, and Mario Cristofolini
Constructing Bayesian Network in a Changing World / 108
Yanping Xiang and Kim-Leng Poh
Graphical Multiagent Decision Model: Towards Adaptability / 114
Yi-feng Zeng and Kim-leng Poh
Grid-Enabled Bayesian Network / 121
Yi-feng Zeng, Guo-quan Liu, and Kim-leng Poh
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