Peter, Kurt, (01)
I am interested, but my time is pretty limited these days. I'd suggest
using Kurt's summary of our activies from a few months ago as the
foundation of a paper: I thought that was an excellent summary. (02)
Also, I am not sure that I would be able to attend this, since I go by
train in general. But I guess those considerations can wait for a while. (03)
Thanks,
Leo (04)
"Peter P. Yim" wrote:
>
> Kurt / Leo,
>
> Guess you might have received this message from Craig Schlenoff too.
>
> I would like to collaborate with both of you to do a paper for this
> conference, and take the opportunity to present [ontolog-forum] and
> its work to the AAAI community.
>
> Please advise/confirm if you would entertain the idea ... and if so,
> we'll have to get moving. Submission deadline (for full paper or
> statement-of-interest/outline) is 2003-10-03.
>
> Regards,
> PPY
> --
>
> Craig Schlenoff wrote Thu, 07 Aug 2003 18:16:12 -0400:
>
> > Just a friendly reminder that the October 3rd deadline is fast
> > approaching for submitting a paper to the Knowledge Representation and
> > Ontology for Autonomous Systems Symposium, part of the 2004 AAAI Spring
> > Symposium to be held at Stanford University on March 22-24, 2004.
> >
> > If you plan on submitting a paper to the symposium, please send me an
> > email to let me know so we can be better prepared as the deadline
> > approaches.
> >
> > Thanks and hope to see you in Stanford!
> >
> > Craig
> >
> >
>----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
> >
> > Call for Participation and Papers:
> > Knowledge Representation and Ontology
> > for Autonomous Systems
> >
> > A Symposium at the 2004 AAAI Spring Symposium
> > March 22-24, 2004
> > Stanford University
> >
> > For an autonomous system to behave appropriately in an uncertain
> > environment, many researchers feel that the system must have an internal
> > representation (world model) of entities, events, and situations that it
> > perceives in the world. The term “autonomous systems’ in this context
> > refers to embodied intelligent systems that can operate for extended
> > periods of time without human supervision. A major challenge for these
> > systems is maintaining an accurate internal representation of pertinent
> > information about the environment.
> >
> > A large body of work exists in various knowledge representation,
> > ontology, and data fusion areas, yet relatively little has been applied
> > to real-time world modeling in autonomous systems. This symposium’s
> > objective is to bring together colleagues in the autonomous systems,
> > knowledge representation, ontology, and data fusion communities to
> > explore leveraging existing knowledge technologies to benefit autonomous
> > systems. Some topics of interest include:
> >
> > o Applying knowledge representations to autonomous systems for
> > representing parametric, spatial, dynamic and symbolic knowledge
> > o Exploring the usefulness of different types of ontologies for
> > autonomous systems
> > o Representing a priori and in situ knowledge, value judgments, state
> > information, history, plans, entities, events, situations, intent, task
> > knowledge, and self-knowledge
> > o Exploring which knowledge technologies work best for different
> > challenges in autonomous systems, including corresponding performance
> > measures
> > o Exploring the requirements that subsystems (e.g., sensors, learning
> > modules, planners, and operator control units) place on knowledge
> > representations
> > o Understanding and formalizing the interaction between disparate
> > knowledge representations (e.g., images, maps, classes, and
> > relationships) that provide complementary information about the same
> > object or event
> > o Understanding the role of knowledge in model-based perception and control
> > o Exploring approaches to formalize the autonomous system’s internal
> > representation
> > o Exploring means to measure of the quality of knowledge within
> > autonomous systems
> > o Exploring the reusability of knowledge among disparate autonomous systems
> > o Determining how data fusion technologies (which support autonomous
> > system sensing capabilities) can be assisted by using knowledge technologies
> >
> > Submission Information
> >
> > The symposium will consist of formal paper presentations describing
> > current research or visionary approaches, as well as interdisciplinary
> > discussion sessions focusing on topics areas related to knowledge
> > technologies for autonomous systems. Those interested in participating
> > are invited to submit either a full paper (5000 words maximum) or a 1-2
> > page statement of interest outlining their relevant research activities
> > and how they would like to contribute to the symposium. Please submit
> > papers in PDF format to Craig Schlenoff (craig.schlenoff@xxxxxxxx) no
> > later than October 3, 2003.
> >
> > For more information, please see
> > http://www.isd.mel.nist.gov/AAAI_Symposium_2004/.
> >
> > Organizing Committee
> >
> > Craig Schlenoff (chair), National Institute of Standards and Technology
> > (NIST), USA; Michael Uschold (co-chair), Boeing, USA; Benjamin Kuipers,
> > Univ. of Texas at Austin, USA; James Albus, NIST, USA; Otthein Herzog,
> > University of Bremen, Germany: Charles Shoemaker, Army Research Lab,
> > USA; Illah Nourbakhsh, Carnegie Mellon Univ., USA; Hugh Durrant-Whyte,
> > The University of Sydney, Australia; Elena Messina, NIST, USA; James
> > Crawford, NASA Ames Research Center, USA; Stephen Balakirsky, NIST, USA;
> > Michael Gruninger, University of Maryland, College Park, USA
> >
> > -------------------------------------------------------------------------
> > Craig Schlenoff
> > Mechanical Engineer
> > Intelligent Systems Division
> > National Institute of Standards and Technology (NIST)
> > 100 Bureau Drive, Stop 8230
> > Gaithersburg, MD 20899
> > craig.schlenoff@xxxxxxxx
> > Phone: 301-975-3456
> > Fax: 301-990-9688
> >
> >
> > (05)
--
_____________________________________________
Dr. Leo Obrst The MITRE Corporation, Information Semantics
lobrst@xxxxxxxxx Center for Innovative Computing & Informatics
Voice: 703-883-6770 7515 Colshire Drive, M/S H305
Fax: 703-883-1379 McLean, VA 22102-7508, USA (06)
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