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*** Second Call for Papers ***
AAAI Fall Symposium 2000
LEARNING HOW TO DO THINGS
November 3-5, 2000
Cape Cod, Massachusetts
www.dfki.de/~bauer/fs2000
Symposium Topic
Knowing how to do things is an important category of knowledge
underlying many kinds of intelligent behavior in artificial
agents, such as critiquing, advice giving, tutoring,
collaboration, and delegation. In the current state of the art,
most of this procedural knowledge is encoded "manually" by a
single person (or a small team) who needs to be expert in both
the task domain and the appropriate knowledge representation
formalisms. This is a serious bottleneck in the development of
these kinds of systems.
The focus of this symposium is on how to automate or partially
automate the acquisition of procedural knowledge, namely, indexed
collections of what are variously called macros, plans,
procedures, or recipes for action. The techniques for acquiring
this knowledge may depend on many variables, including:
* size of the domain (e.g., number of recipes)
* amount of input data
* number of steps in a typical task
* type of tasks (e.g., analysis vs. synthesis)
* number of agents involved (e.g., one, two, or many)
* type of agents involved (e.g., human vs. computer)
* intended use of the knowledge (e.g., acting, critiquing,
etc.)
* degree of supervision (e.g., teaching vs. unsupervised
learning)
* level of abstraction (e.g., primitive operations vs. high-
level goals)
* degree of initiative (e.g., learning by experimentation
versus passively)
Because of this problem diversity, we hope to include
participants in the workshop from a number of research areas,
including:
* programming by demonstration (highly supervised, small
amount of input data)
* data mining (unsupervised, large amount of input data)
* case-based problem solving (cases are like recipes,
especially if abstracted)
* machine learning (range of techniques)
* cognitive and social sciences (e.g., studies of human
instructional dialogues)
* instructable agents
Important Dates
Submission of position papers: March 29, 2000
Notification of acceptance: May 5, 2000
Registration deadline: May 25, 2000
Submission of final paper versions: August 25, 2000
Symposium: November 3-5, 2000
Submission
Potential participants should submit a short position paper
(maximum three pages) containing the following four elements:
1. Primary contact: name, affiliation, postal and email
addresses, telephone and fax numbers. Invitations to second-
ary authors will be made only if they are also listed on this
submission.
2. Statement and discussion of two or three important research
questions that could be presented and discussed at the
workshop.
3. Statement and discussion of a domain that could serve as a
shared example for the workshop. Explain how this particular
domain would help make our discussion more concrete and
productive.
4. A short summary of authors' relevant work, including
references (please supply URLs if available).
Please email submissions (plain ascii text only) to
learninghow@dfki.de. Confirmation of receipt will be returned by
email.
Organizing Committee
Mathias Bauer, DFKI (bauer@dfki.de, co-chair)
Charles Rich, Mitsubishi Electric Research Lab. (rich@merl.com, co-chair)
Andrew Garland, Brandeis University
Abigail Gertner, University Pittsburgh
Eric Horvitz, Microsoft Research
Tessa Lau, University Washington
Neal Lesh, Mitsubishi Electric Research Lab.
James Lester, North Carolina State University
Henry Lieberman, MIT
Jeff Rickel, USC/ISI
Candace Sidner, Lotus Development Corp.
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