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MICAI 2008 marzo 2, 2008

Posted by japardoto in Sin categoría.
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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). Acceptance rate (oral session) of MICAI-2007 was 23.9% out of 485 submissions from 43 countries; MICAI-2006: 26.1% out of 448 submissions from 42 countries; MICAI-2005: 28% out of 423 submissions from 43 countries. The conference is organized by the Mexican Society for Artificial Intelligence (SMIA). The scientific program includes keynote lectures, paper presentations, tutorials, panels, and workshops.

This year’s event will be held in Mexico City, at ITESM Campus Estado de México.


Registration of abstracts   May 5
Uploading of full papers   May 12
Notification of acceptance   June 24
Camera-ready deadline   August 11
Conference   October 27-31

Though we cannot guarantee reviewing of papers received after the deadline, you can contact us for late submissions.


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)



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