Call for Papers: The 2009 International Conference on Artificial Intelligence (ICAI'09), USA, July 13-16, 2009

Call for Papers: The 2009 International Conference on Artificial Intelligence (ICAI'09), USA, July 13-16, 2009

Post by A. M. G. S » Sun, 07 Dec 2008 07:21:52


C A L L F O R P A P E R S
===============================

CALL FOR PAPERS
and
Call For Workshop/Session Proposals

The 2009 International Conference on
Artificial Intelligence
ICAI'09

Date and Location: July 13-16, 2009, Las Vegas, USA

You are invited to submit a paper (and/or a proposal to organize
a session/workshop). All accepted papers will be published in the
respective conference proceedings.

SCOPE: Topics of interest include, but are not limited to, the
following:

O Brain models / cognitive science
O Natural language processing
O Fuzzy logic and soft computing
O Software tools for AI
O Expert systems
O Decision support systems
O Automated problem solving
O Knowledge discovery
O Knowledge representation
O Knowledge acquisition
O Knowledge-intensive problem solving techniques
O Knowledge networks and management
O Intelligent information systems
O Intelligent data mining and farming
O Intelligent web-based business
O Intelligent agents
O Intelligent networks
O Intelligent databases
O Intelligent user interface
O AI and evolutionary algorithms
O Intelligent tutoring systems
O Reasoning strategies
O Distributed AI algorithms and techniques
O Distributed AI systems and architectures
O Neural networks and applications
O Heuristic searching methods
O Languages and programming techniques for AI
O Constraint-based reasoning and constraint programming
O Intelligent information fusion
O Learning and adaptive sensor fusion
O Search and meta-heuristics
O Multisensor data fusion using neural and fuzzy techniques
O Integration of AI with other technologies
O Evaluation of AI tools
O Social intelligence (markets and computational societies)
O Social impact of AI
O Emerging technologies
O Applications (including: computer vision, signal processing,
military, surveillance, robotics, medicine, pattern recognition,
face recognition, finger print recognition, finance and
marketing, stock market, education, emerging applications, ...)

O The 2009 International Workshop on Machine Learning; Models,
Technologies and Applications:

- General Machine Learning Theory
. Statistical learning theory
. Unsupervised and Supervised Learning
. Multivariate analysis
. Hierarchical learning models
. Relational learning models
. Bayesian methods
. Meta learning
. Stochastic optimization
. Simulated annealing
. Heuristic optimization techniques
. Neural networks
. Reinforcement learning
. Multi-criteria reinforcement learning
. General Learning models
. Multiple hypothesis testing
. Decision making
. Markov chain Monte Carlo (MCMC) methods
. Non-parametric methods
. Graphical models
. Gaussian graphical models
. Bayesian networks
. Particle filter
. Cross-Entropy method
. Ant colony optimization
. Time series prediction
. Fuzzy logic and learning
. Inductive learning and applications
. Grammatical inference

- General Graph-based Machine Learning Techniques