Leo, (01)
Thanks for the positive repsonse. This is great! (02)
Kurt is on vacation right now. Let's start working once we returns. (03)
I look forward to our collaboration! (04)
Best regards,
PPY
-- (05)
Leo Obrst wrote Wed, 13 Aug 2003 18:58:00 -0400: (06)
> Peter, Kurt,
>
> 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.
>
> 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.
>
> Thanks,
> Leo (07)
> "Peter P. Yim" wrote Fri, 08 Aug 2003 09:43:07 -0700:
>
>>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
>>-- (08)
>>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
>>>
>>>---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- (09)
>>>Call for Participation and Papers:
>>>Knowledge Representation and Ontology
>>>for Autonomous Systems (010)
>>>A Symposium at the 2004 AAAI Spring Symposium
>>>March 22-24, 2004
>>>Stanford University (011)
>>>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. (012)
>>>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: (013)
>>>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 (014)
>>>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. (015)
>>>For more information, please see
>>>http://www.isd.mel.nist.gov/AAAI_Symposium_2004/. (016)
>>>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 (017)
>>>-------------------------------------------------------------------------
>>>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
>>>
>>>
>>>
>
> (018)
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