[alife] Call for Papers: AAAI-08 Nectar Program

Rocha, Luis M. rocha at indiana.edu
Wed Jan 16 09:11:30 PST 2008


Call for Papers: AAAI-08 Nectar Program



AAAI-08 will be held in Chicago from July 13-17, 2008. It

will again include the Nectar track (new scientific and

technical advances in research). This track aims to make the

most significant AI results presented at other conferences

in the last two years available to a broad AI audience. One

important goal of the track is to offer researchers the

opportunity to learn about areas with which they may not

already be familiar. Another goal is to encourage the sort

of cross-disciplinary AI work that has historically been

supported by AAAI.



The Nectar track will consist of papers that are based on

important results that have already been published in the

proceedings of at least one major conference in 2006 and

2007, as either a single paper or a series of papers.

Examples of such AI conferences include AAMAS, AIIDE, ALIFE,

ACL, CEC, CogSci, CP, FUZZ-IEEE, GECCO, ICAPS, ICCBR, ICML,

IEEE CEC, IJCNN, ISWC, IUI, KCAP, KR, NIPS, SAT, UAI and

WCCI. Examples of conferences in related fields with

relevance to AI include CIKM, COLT, KDD, PODS, ICDT, SIGIR,

SIGGRAPH, SIGMOD, VLDB, and WWW.



Papers that report on the application of AI techniques in

other fields, for example bioinformatics, may also serve as

the basis for Nectar papers. Authors of application papers,

however, are advised that they may find the conference on

Innovative Applications of AI (IAAI) a more appropriate

venue for reaching the AI community since those papers can

be longer and thus provide a clearer application setting in

which to describe the work. Papers that have appeared in

general AI conferences (such as AAAI, ECAI, IJCAI) or

journals (for example, Artificial Intelligence, JAIR) cannot

serve as the basis for Nectar papers since they have already

been presented to the entire AI community.



Submissions and Dates



We solicit short submissions of up to four pages. Each

submission should focus on a major result that has already

been published in one or more venues as described above. A

Nectar paper needs to clarify the relationship of the paper

to any other AAAI-08 submissions by the authors and cannot

overlap with them substantially. The Nectar paper should

cite the previous publication(s) and will typically devote

no more than one or two pages to summarizing the core

results. The remainder of the paper should be devoted to

putting the results, as well as the problem they solve, into

a context that is meaningful to a wide AI audience.



Nectar track papers will be presented as talks or posters at

AAAI-08. The papers will also be published in the conference

proceedings. Submitted papers will be reviewed according to:

(1) significance of the results to the broad goals of AI,

(2) potential for the results to influence research beyond

their original publication venues, and (3) clarity of the

presentation to AI researchers who do not have expertise in

the topic described in the paper.



Although papers will describe previously published results,

the paper itself must be original. Authors of accepted

papers will be required to transfer copyright.



Papers must be received by February 19, 2008. Decisions on

the acceptance of papers will be made by March 20, 2008.



Additional information can be found at

www.aaai.org/Conferences/AAAI/2008/aaai08nectar.php



Regina Barzilay (Massachusetts Institute of Technology), Cochair

Sven Koenig (University of Southern California), Cochair

______________________________________________________

Luis Mateus Rocha, Associate Professor
Director of Informatics Graduate Programs
School of Informatics and Cognitive Science Program
Indiana University
http://informatics.indiana.edu/rocha

and

FLAD Computational Biology Collaboratorium, Director
Instituto Gulbenkian de Ciência, Oeiras, Portugal
http://bc.igc.gulbenkian.pt/collaboratorium
______________________________________________________
Economists are way too allergic to the wishy-washy concept of fairness. (Nancy Birdsall)
______________________________________________________




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