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PPSN 2008 marzo 2, 2008

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The Tenth International Conference on Parallel Problem Solving from Nature (PPSN X) will be held in Dortmund, Germany on 13-17 September 2008. This meeting will bring together an international community from academia, government, and industry interested in algorithms suggested by the unifying theme of natural computing.

Natural Computing is the study of computational systems that use ideas and get inspiration from natural systems, including biological, ecological, physical, chemical, and social systems. It is a fast growing interdisciplinary field in which a range of techniques and methods are studied for dealing with large, complex, and dynamic problems with various sources of potential uncertainties.

The PPSN conference series started 1990 in Dortmund. Have a look at the history of PPSN.

CALL FOR PAPERS
SCOPE
PPSN X will showcase a wide range of topics in Natural Computing including, but not restricted to: Evolutionary Computation, Quantum Computation, Molecular Computation, Neural Computation, Artificial Life, Swarm Intelligence, Artificial Ant Systems, Artificial Immune Systems, Self-Organizing Systems, Emergent Behaviors, and Applications to Real-World Problems.
PAPER PRESENTATION
Following the now well-established tradition of PPSN conferences, all accepted papers will be presented during small poster sessions of about 16 papers. Each session will contain papers from a wide variety of topics, and will begin by a plenary quick overview of all papers in that session by a major researcher in the field. Past experiences have shown that such presentation format led to more interactions between participants and to a deeper understanding of the papers. All accepted papers will be published in the Proceedings.
PAPER SUBMISSION
Researchers are invited to submit original work in the field of natural computing as papers of not more than 10 pages. Authors are encouraged to submit their papers in LaTeX. Papers must be submitted in Springer Verlag’s LNCS style through the conference homepage, here.
IMPORTANT DATES
Submission due: April 14, 2008
Conference: September 13-17, 2008

ICARIS 2008 marzo 2, 2008

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Artificial Immune Systems are one of the most exciting recent new areas of research in computer science today. Researchers in this field focus on creating and exploiting biologically-inspired algorithms based on biological immune systems for applications such as machine learning, control and intrusion detection. There is also an increasing interest in the use of computers to model and analyse biological immune systems. The seventh International Conference on AIS continues the tradition of providing a forum for the world’s leading researchers in the area to present their latest results. ICARIS also encourages and supports newer researchers to the field, whether from academia or industry. Student grants will be available to contribute towards travel costs. Renowned researchers in the field will present plenary lectures and a number of general and specialist tutorials will be run just before the main conference. If you perform research into artificial immune systems or modelling of immune systems, you need to come to Thailand and join us!

The conference will have four streams:

1. Computational immunology
– Modelling and biology-specific work
– Stream leader : Emma Hart, Naiper Univ., UK,

2. Applied AIS
– Immune-inspired computer science systems, practical «AIS   Success   Story» applications in industry, commerce, arts,   and   academia
– Stream leaders :
  Henry Lau, Hong Kong Univ., China, ,
  Vincenzo Cutello, Catania Univ., Italy,

3. Theoretical AIS
– Theoretical analyses of computer science, information theory and/or   biology
– Stream leader : Andy Hone, Kent Univ., UK,

4. Position papers
– Providing a novel argument philosophical or methodological relating to   AIS and/or immunobiology
– Stream leaders :
  Jon Timmis, York Univ., UK,  
  Paul Andrews, York Univ., UK,
  

Please contact individual stream leaders for more information. Note that position papers will have shorter time to present, and longer for discussion at the end.

Important Dates in 2008

Paper submission :

April 04 , 2008

Acceptance:

May 02 , 2008

Final Papers:

May 16 , 2008

Conference:

August 10-13, 2008

MICAI 2008 marzo 2, 2008

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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.

IMPORTANT DATES

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

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)