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Home / Proceedings / Papers from the 2002 AAAI Spring Symposium /

Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction

Contents

  • Distributed Search and Decision-Making using Cooperative Coevolutionary Agents

    Raj Subbu and Arthur C. Sanderson

    PDF
  • Diagnosis and Prediction in a Moving Vehicle: The Driver Advocate

    Bradford W. Miller, Noel Massey, and Robert M. Gardner

    PDF
  • An Introduction of Embedded Infotronics Agent for Tether-Free Prognostics

    Jay Lee and Jun Ni

    PDF
  • Active Classification with Bounded Resources

    AnYuan Guo

    PDF
  • Distributed Diagnosis of Networked Hybrid Systems

    James Kurien, Xenofon Koutsoukos, and Feng Zhao

    PDF
  • Efficient Fault Diagnosis using Probing

    Irina Rish, Mark Brodie, and Sheng Ma

    PDF
  • Sensor Validation and Fusion with Distributed Smart Dust Motes for Monitoring and Enabling Efficient Energy Use

    Alice M. Agogino, Jessica Granderson, and Shijun Qiu

    PDF
  • Information Refinement and Revision for Medical Expert System — Automated Extraction of Hierarchical Rules from Clinical Data

    Shusaku Tsumoto

    PDF
  • Using Fuzzy MCDM and Case-Based Reasoning to Support General Decision Making

    Gleiber Fernandes Royes and Rogério Cid Bastos

    PDF
  • Supervisory Control for Energy Savings and Thermal Comfort in Commercial Building HVAC Systems

    Rodney A. Martin, Clifford C. Federspiel, and David M. Auslander

    PDF
  • Predicting Wet-End Web Breakage in Paper Mills

    Piero Bonissone, Kai Goebel, and Yu-To Chen

    PDF
  • Decision Making in Logistics: A Chaos Theory Based Analysis

    Priya Ranjan, Soundar Kumara, Amit Surana, Vikram Manikonda, Mark Greaves, and Wilbur Peng

    PDF
  • Incremental Automated Diagnostics

    Chris Price

    PDF
  • Using Sensitivity Analysis for Selective Parameter Update in Bayesian Network Learning

    Haiqin Wang, Irina Rish, and Sheng Ma

    PDF
  • Value of Information Analysis in Dynamic Decision Models

    Songsong Xu and Kim-Leng Poh

    PDF
  • Distributed Multi-Algorithm Diagnostics and Prognostics for US Navy Ships

    George D. Hadden, Peter Bergstrom, George Vachtsevanos, Bonnie Holte Bennett, and Joe Van Dyke

    PDF
  • The Use of Evidence Conflict to extend Diagnostic Models

    John Mark Agosta and Jonathan S. Katz

    PDF
  • A Novel Architecture for an Integrated Fault Diagnostic/Prognostic System

    Guangfan Zhang, Seungkoo Lee, Nicholas Propes, Yongsheng Zhao, George Vachtsevanos, Ash Thakker, and Tom Galie

    PDF
  • Using Hierarchical Recurrent Neuro-Fuzzy Systems for Decision Making

    Andreas Nürnberger

    PDF
  • Quantitative Temporal Relationships in Dynamic Bayesian Models

    Dirk Colbry, Bart Peintner, and Martha Pollack

    PDF

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