• Abstract
• Call for Participation
• Invited Presentation (Paul Cohen) :

        The Mind Reading Problem 
• Paper List  
• Schedule 
• Important dates
• A/V Request for Authors
• Email addresses and web pages
• Organizing committee

Mixed-initiative intelligence represents an amalgam of human and machine cognition that together produces intelligent behavior. Mixed-initiative systems integrate human and automated reasoning to take advantage of their respective reasoning styles and computational strengths. The benefit of such systems is the potential to combine the resources available to both; the challenge is to manage the interaction and responsibilities encountered in joint decision-making. The goal of this workshop is to examine the issues of mixed-initiative computing from a wide perspective. The workshop will bring together people from diverse backgrounds who have looked at key issues in mixed-initiative systems in order to search for intersections under a common theme.

• Michael T. Cox (chair), Wright State University, mcox@cs.wright.edu,

http://www.mcox.org
 
• Robin Burke, University of California, Irvine, burke@agents.ics.uci.edu

http://www.ics.uci.edu/~burke
 
• George Ferguson, University of Rochester, ferguson@cs.rochester.edu

http://www.cs.rochester.edu/u/ferguson/
 
• Susan McRoy, University of Wisconsin-Milwaukee, mcroy@cs.uwm.edu

http://www.cs.uwm.edu/~mcroy
 
• S. Narayanan, Wright State University, snarayan@cs.wright.edu

http://isis.cs.wright.edu:1947/~snarayan
 
• Robert St. Amant, North Carolina State University, stamant@csc.ncsu.edu

http://www.csc.ncsu.edu/eos/users/s/stamant/www/index.html

March 12, 1999

All submissions due due to workshop chair

March 26, 1999

Acceptance/rejection notices mailed

April 21, 1999

Camera-ready copy, AV requests, Permission to Distribute forms, electronic abstracts and papers due.

Last updated 29 June 99 by LabMeister