Call for Papers: ICAI'10 (The 2010 International Conference on Artificial Intelligence), USA, July 2010

Call for Papers: ICAI'10 (The 2010 International Conference on Artificial Intelligence), USA, July 2010

Post by A. M. G. S » Thu, 18 Feb 2010 19:03:06


t would be greatly appreciated if this announcement could be
shared with individuals whose research interests include
artificial intelligence, machine learning, soft computing,
and genetic and/or evolutionary methods. Thanks.
-------

CALL FOR PAPERS

ICAI'10
The 2010 International Conference on
Artificial Intelligence

Date and Location: July 12-15, 2010, Las Vegas, USA

You are invited to submit a full paper for consideration. All
accepted papers will be published in the ICAI conference
proceedings (in printed book form; later, the proceedings will
also be accessible online).

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

O Brain models / cognitive science
O Natural language processing
O Fuzzy logic
O 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 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
. Graph kernel and graph distance methods
. Graph-based semi-supe