www.ijcai-03.org
EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Workshop on
AI and Autonomic Computing: Developing a Research Agenda for Self-Managing Computer Systems

Acapulco Convention Center (Cholula 15 in Cholula Hall)

Acapulco, Mexico on Sunday, August 10, 2003

New! Workshop Schedule

The rapidly growing complexity of integrating and managing computing systems threatens to overwhelm the capabilities of even the most expert software developers and system administrators. Many of the basic components of computing systems, such as databases, storage devices, and servers, now have hundreds of tuning parameters. Systems of these components are growing in size and heterogeneity, giving rise to complex and increasingly dynamic inter-element dependencies and interactions. If these trends continue, it will soon become impossible for humans to effectively configure and optimize systems, and maintain them in real time. Major software and system vendors such as HP, Sun, Microsoft and IBM are concluding that the only viable long-term solution is to create computer systems that manage themselves. IBM has dubbed the field of self-managing computer systems "Autonomic Computing," and regards the development of self-configuring, self-optimizing, and self-repairing systems as a major scientific and engineering challenge. To meet this challenge, Autonomic Computing requires extensive use of AI techniques such as automated real-time reasoning and decision making, machine learning, and planning. Thus, Autonomic Computing promises to be a major new application area for AI, a driver for basic research, and a cross-pollinator across many sub-fields of AI.

The purpose of the workshop is to develop an AI research agenda for Autonomic Computing. Accordingly, it will bring together academic and industrial researchers to identify major problem domains, match mature technologies to current problems, and chart the trajectory of inter-disciplinary research techniques that can be applied in Autonomic Computing. The workshop will draw from various sub-fields of AI, such as:

  • Knowledge representation and reasoning: Components need rich knowledge about themselves and their environment and efficient reasoning algorithms to effectively self-configure, make decisions, and rapidly adapt to changes.
  • Learning: Components must adapt in a dynamic environment and learn to proactively solve problems based on past experience.
  • Planning: Components must make decisions on a very wide range of time scales based on high-level goals and policies.
  • Multi-agent interactions: Individual components will necessarily interact with each other cooperatively and competitively. Standards for agent interoperability as well as higher-level protocols and decision models must be established for effective collective behavior.
  • Software and System applications of AI: Application of techniques from the above four sub-fields to software engineering and system design for Autonomic Computing.

Call for Attendance

We cordially invite you to attend the IJCAI-03 Workshop on AI and Autonomic Computing: Developing a Research Agenda for Self-Managing Computer Systems. We have a strong program of invited speakers and submitted papers (detailed below). We have chosen speakers and papers with the intent of generating stimulating and productive discussion between a variety of artificial intelligence researchers in academia and industry. We hope that you are able to attend, even if you are not presenting a paper.
Note: Participants are expected to register for the main IJCAI conference in addition to the workshop.

Format

There will be invited talks (roughly 30 minutes each) and shorter contributed talks from researchers in industry and academia, as well as a panel discussion. The workshop will also feature several poster presentations. The workshop will emphasize relatively high-level perspectives, including position talks and surveys of sub-fields and problem domains. The workshop is intended to be accessible to the broader AI community, encourage communication between sub-fields, and focus on important future directions for Autonomic Computing.

Program

Confirmed Invited Speakers (with tentative subject area)

  • Jeffrey Kephart, IBM Research (Autonomic Computing in Industry)
  • Craig Boutilier, University of Toronto (Preference Elicitation)
  • Sven Koenig, Georgia Tech. (Planning)
  • Peter Stone, University of Texas (Layered Learning)
  • Michael Wellman, U. Michigan (Negotiation Technologies)
  • Irina Rish, IBM Research (Knowledge Representation and Reasoning)
  • David Bustard, University of Ulster (Systems Engineering)

Submitted Paper Presentations

  • Title: Learning Procedures for Autonomic Computing
    Author: Tessa Lau, Daniel Oblinger, Lawrence Bergman, Vittorio Castelli and Corin Anderson
  • Title: A Model of Cost-Sensitive Fault Mediation
    Authors: Michael L. Littman, Thu Nguyen and Haym Hirsh
  • Title: On-line Model Selection Procedures in Clockwork
    Authors: Lance W. Russell, Stephen P. Morgan and Edward G. Chron
  • Title: Five AI Challenges in Strategyproof Computing
    Authors: David C. Parkes

Submitted Poster Presentations

  • Title: A Bayesian Approach for Automatic Algorithm Selection
    Authors: Haipeng Guo
  • Title: The role of norms in autonomic organizations
    Authors: Julian Padget
  • Title: Decentralized Resource Management in Autonomic Systems
    Authors: Madhusudan Therani, Daniel Zeng, Moshe Dror
  • Title: Achieving Software Robustness via Multiagent-Based Redundancy
    Authors: Rosa Laura Zavala Gutierrez and Michael N. Huhns
  • Title: Autonomic Computing Features for Large-scale Server Management and Control
    Authors: R.K. Sahoo, I. Rish, A.J. Oliner, M. Gupta, J.E. Moreira, S. Ma, R. Vilalta and A. Sivasubramaniam

Organizing Committee

Dr. William E Walsh
IBM T. J. Watson Research Laboratory
19 Skyline Drive, 2S-K15
Hawthorne, NY 10532, USA
wwalsh1@us.ibm.com

Dr. Rajarshi Das
IBM T. J. Watson Research Laboratory
19 Skyline Drive, 2S-L24
Hawthorne, NY 10532, USA
rajarshi@us.ibm.com
http://www.research.ibm.com/people/r/rajarshi

Prof. Nicholas Jennings
Department of Electronics and Computer Science
University of Southampton
Highfield
Southampton, SO17 1BJ, United Kingdom
nrj@ecs.soton.ac.uk
http://www.ecs.soton.ac.uk/~nrj/

Prof. Michael Kearns
Department of Computer and Information Science
University of Pennsylvania
Moore School Building/GRW, Room 555
200 South 33rd Street
Philadelphia, PA 19104-6389, USA
mkearns@cis.upenn.edu
http://www.cis.upenn.edu/~mkearns/

Program Committee

Jeffrey O. Kephart, IBM T. J. Watson Research Laboratory, USA

Gerald Tesauro, IBM T. J. Watson Research Laboratory, USA

Roy Sterritt, University of Ulster at Jordanstown, N. Ireland

David Bustard, University of Ulster at Coleraine, N. Ireland

Rajarshi Das, IBM T. J. Watson Research Laboratory, USA

William E. Walsh, IBM T. J. Watson Research Laboratory, USA

Nicholas Jennings, University of Southampton, UK

Michael Kearns, University of Pennsylvania, USA

Information

Workshop URL: http://www.research.ibm.com/ACworkshop

Workshop Email: workshop@watson.ibm.com

IJCAI-03 URL: http://www.ijcai-03.org