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IFIP AI 2010 Brisbane, Australia, September 2010: SECOND CALL FOR PAPERS

IFIP AI 2010: The Third IFIP International Conference on Artificial
Intelligence  in Theory and Practice, Brisbane, Australia, September
20th-23rd 2010 

IFIP AI 2010 is one of the constituent parts of the IFIP World
Computer  Congress. The conference will follow the same format as the
highly successful  IFIP AI 2008 at the IFIP WCC 2008 in Milan, Italy.
For details see

Papers describing original work are invited in the areas listed below
or other  areas of Artificial Intelligence for oral presentation at
the conference.  Acceptance will be based on quality, relevance and
originality and the practical  value of the work. 

Papers of no more than 10 pages should be submitted following the
publisher's  prescribed format (for details see the conference web
site). Final versions may  be submitted in either Word or Latex format
but at this stage all papers should  be submitted as PDF files. The
proceedings will be published by Springer in the  IFIP AICT (Advances
in Information and Communication Technology) Series.   Papers should
be uploaded via the conference website at from which further information is

Submission deadline: January 31st, 2010 
Notification of acceptance: April 20th, 2010 
Camera-ready deadline: May 15th, 2010 
Conference: September 20th-23rd, 2010 

Tharam Dillon, Curtin University, Australia 

Max Bramer, University of Portsmouth, United Kingdom 

A full list of members is available on the conference website. 

 * Industrial Applications of Artificial Intelligence 
 * Intelligent Decision Support Systems 
 * Integration of AI with other Technologies 
 * Evaluation of AI Systems 
 * AI Languages, Programming Techniques and Tools 
 * Knowledge Acquisition 
 * Expert and Knowledge-based Systems 
 * Fuzzy Logic and Plausible Inference 
 * Neural Networks 
 * Evolutionary Computation and Algorithms 
 * Speech and Natural Language Interfaces 
 * Machine Vision 
 * Intelligent Information Retrieval 
 * Genetic Algorithms 
 * Planning and Scheduling 
 * Bayesian Networks and Stochastic Reasoning 
 * Evolutionary Programming 
 * Learning and Adaptive Systems 
 * Intelligent Agents 
 * Distributed AI Algorithms, Techniques and Applications 
 * Distributed AI Systems and Architectures 
 * Intelligent Tutoring Systems 
 * Structured and Unstructured Data Mining 
 * Case-Based Reasoning Systems 
 * Hardware and Robotics 
 * Social Impact, Acceptance and Implications of AI 
 * Intelligent Systems Engineering and Design Methodologies 
 * Ontologies and Semantic Web 
 * Knowledge and Information Management 
 * Business Process Management and Enterprise Portals 
 * Organisational Memory Knowledge Systems 
 * Inter-organisational KM portals 
 * Knowledge Management, E-Learning and Enterprise Portals 

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