Thursday
Friday
SCOPE
The AIMSA conference series has provided a biennial forum for the
presentation of Artificial intelligence research and development
since 1984. The conference, which is held in Bulgaria, covers the
full range of topics in Artificial Intelligence and related
disciplines and provides an ideal forum for international scientific
exchange between Central/Eastern Europe and the rest of the world.
As its name indicates the conference is dedicated to Artificial
intelligence in its entirety. However, for AIMSA 2006, we would like
to put the emphasis on a specific phenomenon that affects all areas
of AI: the application and leverage of artificial intelligence
technology in the context of human collaboration which today is
mediated by the web. Artificial intelligence is used for supporting
human communication in a wide variety of ways. For example, reasoning
over the semantic web, analysing relationships between people,
enhancing the user experience by learning from their behaviour,
applying natural language to large multilingual corpora, planning a
combination of web services, adapting and personalising educational
material, etc. All Artificial intelligence techniques are amenable to
facilitating communication on the web. Moreover, these techniques are
not deployed in isolation but are typically combined with results
from other disciplines such as the social sciences, discrete
mathematics, network computing, or cryptography. AIMSA 2006 aims to
reflect this plethora of avenues whereby Artificial intelligence
supports human collaboration based activities.
TOPICS
The conference welcomes submissions of original, high quality papers
in all areas of Artificial Intelligence, including but not limited to:
* AI in education
* Ambient intelligence
* Automated reasoning
* Computer vision
* Data mining and data analysis
* Data semantics
* Dialogue management and argumentation
* Distributed AI
* Human-computer interaction and AI
* Information integration
* Information retrieval
* Intelligent user interfaces
* Knowledge engineering
* Knowledge representation and reasoning
* Large scale knowledge management
* Logic and constraint programming
* Machine learning
* Multi-agent systems
* Multimedia systems
* Natural language processing
* Neural networks
* Ontologies (creating, linking, merging, reconciliation)
* Planning
* Robotics
* Semantic peer-to-peer and grid systems
* Semantic interoperability
* Semantic web for e-business and e-learning
* Semantic web inference schemes
* Semantic web services (description, invocation, composition)
* Social desktop and personalisation
* Social network analysis
* Tools and methodologies for multi-agent software systems
* Trust, privacy, and security on the web
* Visualization and modelling and AI