4th Mexican International Conference on ARTIFICIAL INTELLIGENCE

*** GENERAL INFORMATION ***
MICAI is a high-level 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). Acceptance rate of MICAI-2004 was 38% of submissions from 19 countries.
The conference is organized by the Mexican Society for Artificial Intelligence (SMIA) in cooperation with the Mexican Society for Computer Science (SMCC) and the American Association for Artificial Intelligence (AAAI).
The scientific program includes invited lectures, paper presentations, tutorials, panels, and workshops.

*** PAPER SUBMISSION ***
All accepted papers will be published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI).
Authors are invited to submit original previously unpublished research papers written in English, of up to 10 pages, strictly following the LNCS/LNAI format guidelines (see website). Submissions not following the format guidelines are rejected without review.
Submissions are received electronically through the website, see www.MICAI.org/2005. The title and a short abstract must be submitted a week before the paper submission deadline (see website).
All submissions will be subject to blind peer review by three program committee members.

*** IMPORTANT DATES ***
May 22: Paper registration deadline (title and abstract required).
May 29: Paper submission deadline (only papers registered by May 22).
July 17: Acceptance notification.
August 7: Camera-ready deadline.

*** TOPICS ***
Topics of interest are all areas of Artificial Intelligence, including but not limited to:
- Expert Systems / KBS
- Multiagent systems and Distributed AI
- Knowledge Management
- Intelligent Interfaces: Multimedia, Virtual Reality
- Natural Language Processing / Understanding
- Computer Vision
- Neural Networks
- Genetic Algorithms
- Fuzzy logic
- Belief Revision
- Machine Learning
- Intelligent Tutoring Systems
- Data Mining
- Knowledge Acquisition
- Knowledge Representation
- Knowledge Verification, Sharing and Reuse
- Ontologies
- Qualitative Reasoning
- Model-Based Reasoning
- Constraint Programming
- Common Sense Reasoning
- Case-Based Reasoning
- Nonmonotonic Reasoning
- Spatial and Temporal Reasoning
- Robotics
- Planning and Scheduling
- Navigation
- Assembly
- Hybrid Intelligent Systems
- Logic Programming
- Automated Theorem Proving
- Intelligent Organizations
- Uncertainty / Probabilistic Reasoning
- Philosophical and Methodological Issues of AI