AISB event Bulletin Item

CFP: IFIP AI 2008 Artificial Intelligence in Theory and Practice


IFIP AI 2008: The Second IFIP International Conference on Artificial
Intelligence in Theory and Practice, Milan, Italy, September 7th-10th

IFIP AI 2008 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 2006 at the IFIP WCC 2006 in Santiago,
Chile. 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 Science and Business Media
(SSBM). Papers should be uploaded via the conference website at from which further information is

Submission deadline: January 7th, 2008 (this will not be extended)
Notification of acceptance: March 10th, 2008
Camera-ready deadline: April 7, 2008
Conference: September 7th-10th, 2008

John Debenham, University of Technology, Sydney, Australia

Max Bramer, University of Portsmouth, United Kingdom

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

TOPICS (not exhaustive):
 * 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