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[eu_members at aclweb dot org] Florida: Learning in Intelligent Systems, Special Track at FLAIRS 23



Learning in Intelligent Systems
Special Track at FLAIRS 23, Daytona, Florida USA

Date posted: 22-June-2009

Organizers:
Andrew Olney, University of Memphis (aolney at memphis dot edu)

Full Title: Learning in Intelligent Systems

Date: 19-May-2010 - 21-May-2010
Call Deadline: 23-Nov-2009
Location: Daytona Beach, Florida, USA
Web Site: http://tinyurl.com/nqjb74
Field(s): Machine Learning, Psychology, Neuroscience, Ethology, Biology, Economics, Computational Linguistics, Education
Email: Andrew Olney <aolney at memphis dot edu>
 

Learning in Intelligent Systems
Special Track at the 23rd International FLAIRS Conference
In cooperation with the American Association for Artificial Intelligence
Daytona Beach, Florida, USA

May 19th-21st, 2009
Paper submission deadline: November 23rd, 2009.
Notifications: January 22nd, 2010.
Camara ready version due: February 22, 2010

All accepted papers will be published as FLAIRS proceedings by the AAAI.
Call for Papers

What is Learning in Intelligent Systems?
Learning in Intelligent Systems is a development in Machine Learning that embraces an interdisciplinary perspective. Intelligent systems learn by improving through experience. This phenomenon is not restricted to human or machine and cuts across many fields, including Machine Learning, Psychology, Neuroscience, Education, Computational Linguistics, Ethology, and Economics, amongst others. Accordingly, Learning in Intelligent Systems takes an interdisciplinary approach to understanding learning, and seeks to bridge the gap between Machine Learning and other fields.

What is the GOAL of the track?
The goal of the Learning in Intelligent Systems track is to inform researchers of current problems and current efforts in extending the techniques of Machine Learning to fields studying intelligent systems.

Who might be interested?
The track of Learning in Intelligent Systems is a forum for researchers working in Machine Learning, Psychology, Neuroscience, Ethology, Biology, Economics, Computational Linguistics, Education, and related areas.

What kind of studies will be of interest?
While papers and contributions on traditional Machine Learning issues are always welcome, the track emphasizes and encourages interdisciplinary approaches by the Machine Learning community. Topics of interest include (but are in no way limited to)
1. Unsupervised learning and unlabeled data
2. Metacognition/lifetime learning
3. Semi-supervised learning
4. Graph-based approaches
5. Diffusion geometry
6. Graphical models
7. Vector space/IR models
8. Multiple modalities/learning transfer
9. Active learning
10. Learning through imitation
11. Abductive learning
12. Learning through question asking
13. Learning through play
14. Pedagogy
15. Language acquisition
16. Perceptual learning
17. One shot learning
18. Emotions and learning

Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).


Submission Guidelines for the Learning in Intelligent Systems track
Interested authors (for the general Learning in Intelligent Systems track or the special topic) should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (2 pages for a poster) and are due by November 23rd, 2009. For FLAIRS-23, the 2010 conference, the reviewing is a double blind process. Fake author names and affiliations must be used on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.FLAIRS-23.info). Note, do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the special track of Learning in Intelligent Systems for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. An author of each accepted paper is required to register, attend, and present the paper at FLAIRS.

Special Tracks
Call for Special Tracks
Special tracks, held in parallel with the general conference, are an integral part of the conference. They provide researchers in focused areas the opportunity to meet and present their work, and offer a forum for interaction among the broader community of artificial intelligence researchers. Their papers are required to meet the same standards and are published in the conference proceedings.
Topics of interest are in all areas related to artificial intelligence. For example, last year's special tracks included: AI Education; AI Planning and Scheduling; Applied Natural Language Processing; Case-Based Reasoning; Data Mining; Design, Evaluation, and Refinement of Intelligent Systems (DERIS); Games and Entertainment; Intelligent Tutoring Systems; Semantics, Ontologies, and Computational Linguistics; and Uncertain Reasoning.
We encourage proposals for topics that have run previously. Even special tracks that have run for a number of years may need or benefit from new leadership support and perspective, so please do not hesitate to indicate interest in an area, or to contact the Special Tracks Coordinator if you have questions about proposing on a particular topic. We are also particularly interested in fresh tracks in areas such as Machine Learning or AI in English as a Second Language, but all proposals for tracks are very much encouraged.

Conference Proceedings
Papers will be refereed and all accepted papers will appear in the conference proceedings, which will be published by AAAI Press.

Organizing Committee
Andrew Olney, Institute for Intelligent Systems & Department of Psychology, University of Memphis, aolney at memphis dot edu

Current Program Committee
Chris Biemann, Powerset, USA 
Eric Breck, Rhodes College, USA
Brian Carse, University of the West of England Bristol, UK  
Sidney D'Mello, University of Memphis, USA
Samer Hassan, University of North Texas, USA
Henry Hexmoor, Southern Illinois University, USA  
Larry Holder, Washington State University, USA  
Khan Iftekharuddin, University of Memphis, USA
David Lin, University of Memphis, USA
Mihai Lintean, University of Memphis, USA
Zdravko Markov, Central Connecticut State University, USA  
Lee McCauley, Asynchrony Solutions, USA
Kubat Miroslav University of Miami, USA  
Uma Ramamurthy, St Jude Children's Research Hospital, USA
Robert Reynolds, Wayne State University, USA  
Carolyn Rose, Carnegie Mellon University, USA
Vasile Rus, University of Memphis, USA
Shahed Sorower, University of Memphis, USA

Further Information
Questions regarding the Learning in Intelligent Systems Special Track should be addressed to the track chair:
Andrew Olney, aolney at memphis dot edu

Questions regarding any other FLAIRS special tracks should be addressed to the special track coordinator: Philip McCarthy, philmccarthy1 at gmail dot com


Conference Chair:
David C. Wilson, University of North Carolina at Charlotte, USA
Program Co-Chairs:
Chas Murray, Carnegie Learning, USA
Hans Guesgen, Massey University, New Zealand
Special Tracks Coordinator:
Philip McCarthy, University of Memphis, USA

Invited Speakers
To be announced

Conference Web Sites
Paper submission site: follow the link for submissions at http://www.FLAIRS-23.info
Learning in Intelligent Systems Special Track web page: http://tinyurl.com/nqjb74
FLAIRS-2010 conference web page: http://www.flairs-23.info/
Florida AI Research Society (FLAIRS): http://www.flairs.com