2002 AAAI Spring Symposium on Information Refinement and Revision for Decision Making:

Modeling for Diagnostics, Prognostics, and Prediction

Symposium

Dates, times, and placesWhy a symposium now? •  Who should attend?Format • 
Preliminary ScheduleWorking SessionProceedingsAbout AAAI

Home 
Description 
Organizing Committee 

Symposium 

Decision Making for M&D
Background 
Examples 

Artificial Intelligence 
Challenge problems 

Software and Data 
Existing software 
Useful datasets 

References 
FAQ 
Web sites 
Bibliography 

Contact 
Comments 
Subscriptions

Dates, times, and places

The 2002 AAAI Spring Symposium on Information Refinement and Revision for Decision Making:

Modeling for Diagnostics, Prognostics, and Prediction will be held Monday through Wednesday, March 25-27, 2002 on the Stanford Campus in Palo Alto, California. The Symposium is part of the AAAI Spring Symposium Series, which includes a number of other symposia on a variety of topics. 

Attendance at the Symposium is by invitation or by open registration. Invitation is based on submission of an extended abstract or statement of interest. The submission deadline is past. Open registration will be available through AAAI to a limited number of participants in late September on a first-come first-served basis. 

Important upcoming dates: 

  • October 5, 2001 - Abstract Submission to Kai Goebel (goebelk@crd.ge.com
  • November 8, 2001 – Invitations issued based on submissions 
  • November 28, 2001 – Registration Information available through AAAI 
  • January 21,2002 - Camera-ready papers are due
  • February 15, 2002 – Invited participants registration deadline 
  • March 1, 2002 - Final (open) registration deadline
  • March 25-27, 2002 – Symposium held on Stanford campus

Why a symposium now?

The symposium is trying to distinguish itself in several ways from traditional monitoring and diagnosis activities. First, it acknowledges that there is a recent thrust of using AI in diagnostics and prognostics. Second, this thrust has been driven partly by the hardware developments which allow unattended monitoring. This results in many new questions from autonomous decision making to adaptation in changing environments. Third, various diagnostic tools which now have access to a large number of data will come to different conclusions which in turn have to be resolved. Lastly, there is a need for decision making which should result in an optimal action. 

Who should attend? 
The symposium will explore AI techniques that can be developed and deployed within a very short time frame. We expect these technologies to enable significant advances in diagnostics and prognostics applications. Several communities will draw useful insights from the symposium: 

  • AI Researchers – Researchers will be introduced to a fertile new application area for AI technologies for segmentation, classification, prediction, and decision making. They will hear about the key technical challenges facing existing application users, and discuss what technical advances would be most useful. Researchers will also be able to guide and inform future research directions and funding programs. 
  • Potential users of equipment service – Users will hear about existing and emerging AI technologies with the ability to radically transform current diagnostics and prognostics applications. In addition, they will be able to pinpoint key technical problems for AI researchers to address. 
  • Software developers – Developers will hear assessments of the current state of the art for many relevant technologies, helping them to evaluate which technologies to incorporate into future products. In addition, they will be able to make important contacts in the research and applications communities. 
  • Research managers – Managers will be introduced to a technical and application domain ripe for revolutionary advances. 

Format

The Symposium will consist of three types of activities: introductory tutorials to provide participants with a common base of knowledge from which to work, approximately 15 short papers presenting current technical work, and two working sessions. Specifically: 

  • Tutorial: A short tutorial will be held during the first half of the second day. It will present the conceptual background of Decision Making for Diagnostics, focusing on unique aspects of the task. It will demonstrate how different AI techniques come together to tackle specific problems where one technique alone would have a hard time. Several examples will be shown. 
  • Short papers: Individual participants will present papers describing their current technical work. The organizing committee will attempt to divide papers evenly between purely technical papers and papers describing applications that have stretched the limits of current technologies. Each paper will be brief (about 15 minutes) with 10-15 minutes for discussion and questions after each paper. 
  • Working sessions: Interspersed with the papers, the symposium organizers will moderate two sets of working sessions. The topics will be finalized during the morning sessions to reflect the perceived interest of the audience. Proposed topics include Modeling Issues, Information Refinement and Revision, Diagnostic Information Fusion, Adaptation/ Reconfigurability and other write-in topics. The second set of working sessions on Tuesday has a similar policy. Proposed topics are Internet Supported Diagnosis, Diagnostic Ease of Authoring / Ease of Use, Autonomous Systems, Maintenance Planning and other write-in topics. In either case, the results will be presented after those work-outs. Each working session will run for 60 minutes. 

 

 

Proceedings 
The Proceedings will be made accessible through AAAI Press as a Technical Report. To that end, we will need to get the copyright forms ahead of time.


Abstracts must have been submitted by October 5, 2001 to one of the organizers. The length of an abstract should not exceed 200 words. Upon acceptance, submit to the symposium chair by January 21: 

  • the camera-ready paper (8 pages max.). Details on formatting suggestions can be found here.
  • the permission to distribute form.
  • audio/vidual requests other than an overhead projector.

Please use the following address: 

Kai Goebel
Symposium Chair, AAAI Spring Symposium
GE Corporate Research & Development
Information & Decision Technology Lab
K1-5C4A
One Research Circle
Niskayuna, NY 12309
USA

Submit to AAAI by January 21: 

Here is information straight from AAAI: 

Electronic Submission Instructions for the Full Paper 

 AAAI would like to maintain an electronic copy of your abstract and an electronic copy of your paper as well. 

To submit your abstract, please use the form on the AAAI web site or, to send the information by electronic mail, please follow these instructions: On the subject line, put the last name of the principal author, the name of the conference or event, the year, and the word "Abstract." For example: "Doe-SSS 02 Abstract". 

In the body of the message, put the title of your paper. Type this in initial caps, lower case. Don't type the title in all lower or upper case. See the example below. 

Skip a line, then put all the author's names in the order in which they appear in the paper. Put first name, then last name for each author. 

Skip a line, then put the word "Abstract" followed by the actual text of the abstract. 

Do not format your electronic abstract, and do not use LaTex, Tex, html, or any other coding method. 

Here's an example of a completed abstract: 

       Subject: Doe-SSS 02 Abstract  
       Investigation of the XYZ Algorithm  
       Jane Doe and John Doe  
       Abstract: The XYZ Algorithm is presented here.... 

Send your message to sss02-papers@aaai.org. 

Paper Submission 

 AAAI is now making a permanent electronic archive of all its publications. To aid us in this effort, you are are required to send us a PDF or PostScript version of your paper at the same time that you send in your camera-ready copy. Please follow these two steps to complete this process: 

1. Sign the permission to distribute form (also faxed upon request). By signing this form, authors give AAAI permission to distribute their paper. Authors do not relinquish copyright to their paper, nor do they need to request permission from AAAI before publishing their paper. The form does, however, give AAAI permission to distribute the paper in both hard copy and electronic format. (Please note that AAAI cannot distribute previously published material.) 

2. Your paper should be sent to sss02-papers@aaai.org. The subject line of your mail message, in all cases, should contain the last name of the principal author of the paper, followed by the conference name, the year, and the file format. For example: Doe-SS02.pdf. Your paper can be sent in either of these two formats: 

a) A PDF file of your paper using Acrobat Distiller 3.0 or later. Distiller settings should be set to produce a high-end print PDF file; thus, automatic compression should be set to ZIP/JPEG low compression, the default resolution should be 1,240 dpi, compatibility should be set to Acrobat 3.0, and downsampling should be turned off. All fonts should be embedded, and the default page size must be set to letter (8.5 x 11 inches), not A4. Suggested settings can be found on AAAI's distiller settings web site

  

or 

b) If you do not have access to Acrobat Distiller, you may submit a PostScript file to us instead. Please set your PostScript file up using letter size (8.5 x 11 inches) as the default page size--not A4. If you are using a wordprocessor on a Windows or Macintosh platform, please embed all PostScript fonts except the standard families of Helvetica, Times, Symbol, and Palatino into your file. (Do not embed Truetype fonts.) If you use fonts other than Times and Helvetica, you lower the chance of successful conversion of your file to PDF; consequently, we strongly recommend that you use the Times Roman family of fonts. 

If you are unsure about how to create a PostScript file, please consult these instructions. or request help from someone at your site. 

About AAAI 

Founded in 1979, the American Association for Artificial Intelligence (AAAI) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions. Major AAAI activities include organizing and sponsoring conferences, symposia and workshops, publishing a quarterly magazine for all members, publishing a series of books, proceedings, and reports, and awarding grants and scholarships.

Version 1.1
Updated 09/25/01

Dates, times, and placesWhy a symposium now?Who should attend?FormatPreliminary ScheduleWorking SessionProceedingsAbout AAAI