www.ijcai-03.org
EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
9 August 2003 - Acapulco, Mexico
 

Proceedings and Presentations
of the Workshop on
 Mixed-Initiative Intelligent Systems

Contents  Panels  Editors  Reviewers  Links  Preface

 

Table of Contents

  • Preface
     
  • Talking to Computers (pages 1-8)
    Michael L. Anderson, Darsana P. Josyula, Don Perlis
    Paper
    Presentation
     
  • Mixed-initiative Control for Teaching and Learning in Disciple (pages 9-16)
    Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, Cristina Boicu, Bogdan Stanescu
    Paper
    Presentation
     
  • Cooperative Information Sharing Among Mixed-initiative Human/Agent Teams (pages 17-22)
    Mark H. Burstein, David E. Diller
    Paper
    Presentation
     
  • The Staging Transformation Approach to Mixing Initiative (pages 23-29)
    Robert Capra, Michael Narayan, Saverio Perugini, Naren Ramakrishnan, Manuel A. Perez-Quinones
    Paper
    Presentation
     
  • A Work Context Perspective on Mixed-Initiative Intelligent Systems (pages 30-35)
    Jorg Cassens
    Paper
    Presentation
     
  • Planning as Mixed-initiative Goal Manipulation (pages 36-41)
    Michael T. Cox
    Paper
    Presentation
     
  • Evaluating SME-elicited Knowledge (pages 42-48)
    Julie Fitzgerald, Mike Pool, Bob Schrag
    Paper
    Presentation
     
  • Reasoning about Interaction in Mixed-initiative AI Systems (pages 49-58)
    Michael Fleming, Robin Cohen
    Paper
     
  • Responding to and Recovering from Mistakes during Collaboration (pages 59-64)
    Andrew Garland, Neal Lesh, Charles Rich
    Paper
    Presentation
     
  • Human-Machine Interaction in a CASE Environment (pages 65-71)
    Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, Jos L. Ferreira, Carlos Bento
    Paper
    Presentation
     
  • Supporting Intent Awareness in Groupware (pages 72-79)
    Joshua Introne, Richard Alterman
    Paper
     
  • Toward Generic Model-based Object Recognition by Knowledge Acquisition and Machine Learning (pages 80-86)
    Julian Kerr, Paul Compton
    Paper
    Presentation
     
  • A Planner Independent Approach to Human Interactive Planning (pages 87-93)
    Hyeok-Soo Kim, Jonathan Gratch
    Paper
    Presentation
    File
     
  • Intention Recognition for Mixed-initiative Recommender Systems (pages 94-99)
    Lorraine McGinty, Barry Smyth
    Paper
     
  • Interactive Resource Management in the COMIREM Planner (pages 100-106)
    Stephen F. Smith, David W. Hildum, David R. Crimm
    Paper
    Presentation
     
  • Invented Predicates to Reduce Knowledge Acquisition (pages 107-114)
    Hendra Suryanto, Paul Compton
    Paper
    Presentation
     
  • Experiments in Implicit Control (pages 115-124)
    Katia Sycara, Michael Lewis
    Paper
    Presentation
    Files: 1 2 3 4
     
  • <I-N-C-A>: a Shared Model for Mixed-initiative Synthesis Tasks (pages 125-130)
    Austin Tate
    Paper
    Presentation
     
  • Toward a Disciple-based Mixed-initiative Cognitive Assistant (pages 131-137)
    Gheorghe Tecuci, Mihai Boicu, Dorin Marcu
    Paper
    Presentation
     
  • An Interactive Dialogue System for Knowledge Acquisition in Cyc (pages 138-145)
    Michael Witbrock, David Baxter, Jon Curtis, Dave Schneider, Robert Kahlert, Pierluigi Miraglia, Peter Wagner, Kathy Panton, Gavin Matthews, Amanda Vizedom
    Paper
    Presentation

Panels Presentations

Panel Discussion 1: The task and control issues

  • The task issue: the division of responsibility between the human and the agent for the tasks that need to be performed.
  • The control issue: the shift of initiative and control between the human and the agent, including proactive behavior.

Panelists:

Panel Discussion 2: The communication and awareness issues

  • The communication issue: the protocols that facilitate the exchange of knowledge and information between the human and the agent, including mixed-initiative dialog and multi-modal interfaces.
  • The awareness issue: the maintenance of a shared awareness with respect to the current state of the reasoning process.

Introduction

Panelists:

Panel Discussion 3: The architecture and evaluation issues

  • The architecture issue: the frameworks for mixed-initiative intelligent systems.
  • The evaluation issue: the human and automated agent contribution to the emergent behavior of the system.

Panelists:

Editors and Organizing Committee

Gheorghe Tecuci (chair)
Learning Agents Laboratory
Computer Science Department
George Mason University

David W. Aha
Navy Center for Applied Research in AI
Naval Research Laboratory

 Mihai Boicu
Learning Agents Laboratory
Computer Science Department
George Mason University

 Michael T. Cox
Department of Computer Science and Engineering
Wright State University

 George Ferguson
Computer Science Department
University of Rochester

 Austin Tate
Artificial Intelligence Applications Institute
The University of Edinburgh

Additional Reviewers

The organizing committee was helped in the reviewing process by:

  • Marcel Bărbulescu
  • Cristina Boicu
  • Vu T. Le
  • Dorin Marcu
  • Zohreh Nazeri
  • Hadi Rezazad
  • Ping Shyr
  • Bogdan Stănescu

Related links

AAAI-99 Workshop on Mixed-Initiative Intelligence, July 19, 1999, Orlando, Florida, USA.

ECCBR-02 Workshop on Mixed-Initiative Case-Based Reasoning, Sixth European Conference on Case-Based Reasoning, 4 September 2002, Aberdeen, Scotland, UK.

Preface

Mixed-initiative intelligent systems integrate human and automated reasoning to take advantage of their complementary reasoning styles and computational strengths. In recent years an increasing number of such prototype systems have been developed, and important design principles are starting to emerge. 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.

These basic issues are discussed in the context of the current 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)

It is hoped that the workshop will help define theoretical, methodological and practical foundations for mixed-initiative intelligent systems.