LIS 2010 : Learning in Intelligent Systems: FLAIRS Special Track
Call For Papers
Learning in Intelligent Systems
Special Track at FLAIRS 23, Daytona, Florida USA
Date posted: 22-June-2009
Andrew Olney, University of Memphis (firstname.lastname@example.org)
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 (email@example.com)
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
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.
For researchers submitting to LIS, the following other special tracks that run alongside the main conference may be of interest:
1 Data Mining
2 Case-Based Reasoning
3 Artificial Intelligence Education
4 AI, Cognitive Semantic and Computational Linguistics : New Perspectives
5 Uncertain Reasoning
6 Applied Natural Language Processing
7 Games & Entertainment (GE) Special Track
8 AI Planning and Scheduling Special Track Proposal
9 Cognition and AI: Capturing Cognitive Plausibility and Informing Psychological Processes
10 AI and Second Language Learning
11 Computational Biology and Bioinformatics
12 Intelligent Tutoring Systems
Papers will be refereed and all accepted papers will appear in the conference proceedings, which will be published by AAAI Press.
Andrew Olney, Institute for Intelligent Systems & Department of Psychology, University of Memphis, firstname.lastname@example.org
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
Questions regarding the Learning in Intelligent Systems Special Track should be addressed to the track chair:
Andrew Olney, email@example.com
Questions regarding any other FLAIRS special tracks should be addressed to the special track coordinator: Philip McCarthy, firstname.lastname@example.org
David C. Wilson, University of North Carolina at Charlotte, USA
Chas Murray, Carnegie Learning, USA
Hans Guesgen, Massey University, New Zealand
Special Tracks Coordinator:
Philip McCarthy, University of Memphis, USA
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
FLAIRS 2010 home page