[alife] CFP special issue on Swarm Intelligence for Knowledge Discovery in Data

[Martens, David]

> =============================================================
> |                       Call for Papers                     |
> |    Swarm Intelligence for Knowledge Discovery in Data     | 
> |        Special Issue for the International Journal        | 
> |                      Machine Learning                     | 
> =============================================================
> CFP can be found online at: 
> http://www.econ.kuleuven.be/public/ndbaf65/CFP.pdf
> 
> Guest editors
> -------------
> David Martens (K.U.Leuven)
> Tom Fawcett (Stanford University)
> Bart Baesens (K.U.Leuven/University of Southampton)
> 
> Scope
> -----
> Swarm Intelligence is a relatively new subfield of artificial
> intelligence which studies the 
> emergent collective intelligence of groups of simple agents. It is
> based on the social insects'
> metaphor where a number of insects with limited capabilities are able
> to come to intelligent
> solutions for complex problems. In recent decades the Swarm
> Intelligence paradigm has
> received widespread attention in research, mainly as Ant Colony
> Optimization (ACO) and
> Particle Swarm Optimization (PSO). Successful applications of swarm
> intelligence include
> the modelling of agent behaviour, such as the large numbers of
> fighting individuals in the
> battle scenes of the Lord of the Rings movies, and various
> optimization problems, such as
> the routing of packages through networks, the travelling salesman
> problem, scheduling, etc.
> This special issue focuses on the intersection of the swarm
> intelligence paradigm with
> Machine Learning and Knowledge Discovery in Data. We solicit
> high-quality, previously
> unpublished papers where both domains are properly addressed.
> Possible topics for papers include:
> The application of
> * Particle Swarm Optimization
> * Ant Colony Optimization
> * Stochastic Diffusion Search
> * Any algorithmic approach based on biological swarm intelligence,
> such as bird flocking,
> fish schooling, bee behaviours, bacterial growth, animal herding, etc.
> For
> * Clustering
> * Classification
> * Regression
> * Association Rule Mining
> * Time Series Analysis
> * Feature Selection
> Other topics of interest are:
> * Computational models of self-organizing systems
> * Use of fine-grained parallel models, such as cellular automata, in
> machine learning and
> knowledge discovery
> * Emergent behavior and its relationship to pattern recognition and
> learning
> 
> Important Dates
> ---------------
> Submission deadline: June 20, 2008
> First notification: September 26, 2008
> Revised manuscripts due: December 30, 2008
> Final acceptance notification: February, 2009
> Intended publication date: 2009
> 


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