MICAI-2014

        13th Mexican International Conference on ARTIFICIAL INTELLIGENCE
        November 16 to 22, 2014, Tuxtla Gutierrez, Chiapas, Mexico
        www.micai.org/2014

        Publication: Springer LNAI (EI, ISI); IEEE CPS; journals (including ISI JCR)

        Deadlines: July 15 draft abstract (expression of interest) / August 6 full text


GENERAL INFORMATION

MICAI is organized by Mexican Society for Artificial Intelligence (Sociedad Mexicana de Inteligencia Artificial, SMIA).

Recent MICAI events received over 300-400 submissions on average, from over 40 countries. The proceedings have been published as Lecture Notes in Artificial Intelligence series volumes.

Submissions are invited on significant, original, and previously unpublished research on all aspects of artificial intelligence. MICAI is open to all areas of Artificial Intelligence, either research or applications.

Papers should be submitted online using EasyChair system: http://www.easychair.org/conferences/?conf=micai2014. Papers must not exceed 12 pages, in LNAI format (www.springer.com/lncs). Papers must be submitted without authors' names, affiliations and self-references, in the form suitable for double blind reviewing. Submission of the paper assumes that at least one author will register at the conference and present an accepted paper or poster. Full registration fee should be paid for each accepted paper.

Workshops and Tutorials are planned as part of the conference.

The SMIA is pleased to announce the availability of a limited number of travel grants for students who are the principal authors of accepted papers and attend MICAI 2014.

Papers accepted for full (long) oral presentation will be published by Springer in a volume of the series Lecture Notes in Artificial Intelligence. Poster session papers will be published separately by IEEE CPS (anticipated). Special issues of journals are anticipated for best papers: at previous MICAI events, many of the papers published in LNAI were invited to special issues of journals (including ISI JCR-indexed journals). Best papers awards will be given for the 1st, 2nd, and 3rd place best papers, as well as best student paper award.


KEYNOTE SPEAKERS

- Oscar Castillo (Tijuana IT): logic

- Bing Liu (U. of Illinois): opinion mining

- John Sowa (VivoMind Research; IBM): knowledge representation

- plus 3 more first-class experts, to be announced


IMPORTANT DATES

July 15, 2014: Expression of interest: registration of draft abstracts. Express your interste right now; you can always change your draft abstract later.

August 6, 2014: Uploading of full text of registered papers. Late submissions: contact us, or just upload your paper while the system is open.

September 10, 2014: Notification of acceptance.

September 22, 2014: Camera-ready and payment deadline


PUBLICATION

Springer LNAI (indexed in EI, ISI); IEEE CPS; journals; best papers invited to major journals (including ISI JCR).

If you have preferences as to whether you want your paper to be included in Springer LNAI, IEEE CPS, or a journal, we will take them into account.
 

VENUE

Tuxtla Gutiérrez, Chiapas, Mexico.


CULTURAL PROGRAM

Tours to Sumidero canyon (1000 m deep); El Chiflón waterfalls (232 m high); Tenam Puente ancient pyramids; San Cristobal de las Casas colonial city (anticipated).


CALL FOR WORKSHOPS and TUTORIALS

You are invited to submit your workshop or tutorial proposal; see the respective calls on the webpage. No specific deadline: we will consider the submissions as they arrive; express your interest now.


ATTEND IN THE SAME TRIP

CORE 2014 (CIC-IPN), Computer Science, Mexico City: previous week. IBERAMIA 2014, Artificial Intelligence, Chile: next week.


GENERAL INQUERIES AND CONTACT INFORMATION 

Conference chairs:
        Alexander Gelbukh (www.Gelbukh.com),
        Grigori Sidorov (www.cic.ipn.mx/~sidorov).

Program chairs:
        Sofia Natalia Galicia Haro, sngharo (?) gmail.com,
        Felix Castro, fcastroe (?) gmail com,
        Alexander Gelbukh, www.gelbukh.com,

Please distribute. We apologize if you receive multiple copies.