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EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON
ARTIFICIAL INTELLIGENCE
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Workshop on
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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:
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. FormatThere 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. ProgramConfirmed Invited Speakers (with tentative subject area)
Submitted Paper Presentations
Submitted Poster Presentations
Organizing CommitteeDr. William E Walsh
Dr. Rajarshi Das
Prof. Nicholas Jennings
Prof. Michael Kearns
Program CommitteeJeffrey 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 InformationWorkshop URL: http://www.research.ibm.com/ACworkshop Workshop Email: workshop@watson.ibm.com IJCAI-03 URL: http://www.ijcai-03.org |