IFIP AI 2010
Brisbane, Australia, September 2010


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 http://www.wcc2010.org.

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 http://www.ifiptc12.org/ifipai2010 from which further information is available.

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