IJCAI-03 Workshop on Mixed-Initiative Intelligent Systems

	EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
	Workshop on Mixed-Initiative Intelligent Systems Proceedings Goals Agenda Submission Deadlines Committee Contact Links

Proceedings and Presentations

The Proceedings of the IJCAI-2003 Workshop on Mixed-Initiative Intelligent Systems and the presentations of the papers are available online:

http://lalab.gmu.edu/miis/proceedings.html

Goals

Mixed-initiative systems integrate human and automated reasoning to take advantage of their complementary reasoning styles and computational strengths. The primary goals of this workshop are to explore basic issues in the development and use of mixed-initiative systems, to develop a shared understanding of the state of the art, and to identify the issues that are in most need of attention or the most promising for future research.

The workshop addresses basic issues in mixed-initiative reasoning including, but not limited to:

The task issue: the division of responsibility between the human and the agent(s) for the tasks that need to be performed.
The control issue: the shift of initiative and control between the human and the agent(s), including proactive behavior.
The awareness issue: the maintenance of a shared awareness with respect to the current state of the human and agent(s) involved.
The communication issue: the protocols that facilitate the exchange of knowledge and information between the human and the agent(s), including mixed-initiative dialog and multi-modal interfaces.
The evaluation issue: the human and automated agent(s) contribution to the emergent behavior of the system, and the overall system's performance (e.g., versus fully automated, fully manual, or alternative mixed-initiative approaches).
The architecture issue: the design principles, methodologies and technologies for different types of mixed-initiative roles and behaviors.

The authors are encouraged to discuss these issues in the context of their research on:

Mixed-initiative development of intelligent systems
(including knowledge engineering, knowledge acquisition, teaching and learning)
Specific mixed-initiative intelligent systems
(e.g., planning systems, dialog systems, design systems, tutoring systems)
Mixed-initiative maintenance of intelligent systems
(including knowledge base refinement and optimization)
Knowledge representation for mixed-initiative reasoning
(e.g., shared representations suitable for both human and agents)

Developing human-machine systems that exploit the complementary nature of human and automated reasoning is one of the main goals of Artificial Intelligence. In recent years an increasing number of such prototype systems have been developed, and important design principles are starting to emerge. This workshop will help to define theoretical, methodological and practical foundations for such systems. It will therefore be of interest to those involved in any aspect of mixed-initiative reasoning, and particularly to those concerned with system development, use and/or maintenance.

We plan to edit a book or a special journal issue on mixed-initiative intelligent systems, based on this workshop.

Preliminary agenda

The workshop will last one day and will be organized into three main parts.

The first part will consist of short presentations of the accepted papers, grouped into several sessions. Each session will be followed by a discussion period. The goal of these sessions is to introduce the work of all the participants.

The second part will consist of six panel discussion sessions, each dedicated to one of the following mixed-initiative issues: task, control, awareness, communication, evaluation, and architecture. The goal of these panels is to discuss the various approaches to each of these basic issues and to identify the critical problems in need of attention and the most promising research directions.

The workshop will be concluded with an open discussion summarizing the most important lessons learned.

Submission Instructions

The papers must be formatted in Microsoft Word, PDF or PS, according to the guidelines on the IJCAI-03 web site, and must not exceed six pages. They should be submitted electronically to tecuci@gmu.edu using "MIIS-submission" as the subject of the email message.

Note: All workshop participants must register both for this workshop and the main IJCAI-2003 conference. At least one author of each accepted paper must attend the workshop.