MICAI 2010 - 9th Mexican International Conference on Artificial Intelligence (MICAI)

MICAI is a high-level peer-reviewed international conference covering all areas of Artificial Intelligence, traditionally held in Mexico. All previous editions of MICAI were published in Springer LNAI (N 1793, 2313, 2972, 3789, 4293, 4827, 5317, 5845). Each of the last recent MICAI events (2006, 2007, 2008, 2009) received over 400 submissions, in average, from over 40 countries. The acceptance rate has been around 26%. The conference is organized by the Mexican Society for Artificial Intelligence (SMIA). The scientific program includes keynote lectures, paper presentations, tutorials, panels, and workshops.

Papers accepted for 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 (to be confirmed). Best papers awards will be granted to the 1st, 2nd and 3rd places of each category. Special issues of journals are anticipated for best papers.

The conference is hosted by the Autonomous University of Hidalgo State (Universidad Autónoma del Estado de Hidalgo), Pachuca (1 hour by regular bus from Mexico City).

IMPORTANT DATES

May 18, 2010 Registration of abstracts
May 25, 2010 Uploading of full text of registered papers
July 25, 2010 Notification of acceptance
August 7, 2010 Camera-ready and payment deadline
November 8 to 13, 2010 MICAI-2010

TOPICS

Topics of interest are all areas of Artificial Intelligence, including but not limited to:

Expert Systems & Knowledge-Based Systems
Knowledge Representation & Management
Knowledge Acquisition
Multi-agent Systems and Distributed AI
Intelligent Organizations
Natural Language Processing
Ontologies
Intelligent Interfaces: Multimedia, Virtual Reality
Computer Vision & Image Processing
Neural Networks
Genetic Algorithms
Fuzzy Logic
Machine Learning
Pattern Recognition
Belief Revision
Qualitative Reasoning
Uncertainty & Probabilistic Reasoning

Model-Based Reasoning
Non-monotonic Reasoning
Common Sense Reasoning
Case-Based Reasoning
Spatial and Temporal Reasoning
Constraint Programming
Logic Programming
Automated Theorem Proving
Robotics
Planning and Scheduling
Hybrid Intelligent Systems
Bioinformatics & Medical Applications
Philosophical and Methodological Issues of AI
Intelligent Tutoring Systems
Data Mining
Applications
Other (avoid whenever possible)