ECAI2008

ECAI2008
18th European Conference on Artificial Intelligence
Start	July 21 2008 (iCal)
End	July 25 2008
Homepage:	www.ece.upatras.gr/ecai2008/
Location
City:	Patras
Country:	Greece
Important dates
Abstracts due:	Feb 22 2008
Papers due:	Feb 25 2008
Posters due:	Mar 25 2008
Notification:	April 28 2008
Camera ready due:	May 26 2008
Event in series ECAI

ECAI, the biennial European Conference on Artificial Intelligence, is the leading conference in its field in Europe. ECAI 2008, the 18th conference in this series, is jointly organized by the European Coordinating Committee on Artificial Intelligence, the University of Patras, and the Hellenic Artificial Intelligence Society.

In 2008, the acceptance rate of ECAI was 21.5% (121 accepted papers out of 561 submissions).

[edit] Topics

• Case-Based Reasoning: Case Representation, Case-Retrieval, CBR Applications, Adaptation, Explanation, Analogical Reasoning

• Cognitive Modeling & Interaction: Human-Computer Interaction, Intelligent User Interfaces, User and Context Modeling, Usage Analysis, Usage Mining, Personalization, User Profiling, Recommender Systems, Web usability and accessibility, Human Experimentation, Perception and Performance, Skill Acquisition and Learning, Instruction and Teaching, Memory, Neuroscience, Ambient Intelligence, AI and Creativity, Artificial Life, Emotions, Philosophical Foundations

• Constraints & Search: Constraint Optimization, Constraint Programming, Constraint Propagation, Constraint Satisfaction, Distributed Constraint Solving, Global Constraint, Logic and Constraint Programming, Modeling, Search, Soft Constraints, User Interaction

• Distributed & Multi-agent AI: Agent Communication Languages, Agents, Argumentation, Cooperation and Coordination, Game Theoretic Foundations, Group decision making, Information Agents, Market-Oriented Programming, Multi-Agent Systems, Negotiation, Protocols and Dialogues, Trust, Web Intelligence,

• Knowledge Representation and Reasoning: Abduction, Automated Reasoning, Belief Revision, Causality, Common-Sense Reasoning, Decision Making, Description Logics, Logic Programming, Modal Logics, Non-classical logics, Nonmonotonic Reasoning, Ontologies, Reasoning about Action, Resource-Bounded Reasoning, Satisfiability, Semantic Web, Spatial Reasoning, Temporal Reasoning, Theorem Proving, Uncertainty, Verification and Validation

• Machine Learning: Adaptive Systems, Bayesian Learning, Data Mining, Decision Tree and Rule Learning, Dimension Reduction, Ensemble Methods, Evolutionary Computing, Information Extraction, Knowledge Discovery, Machine Learning Applications, Neural Networks, Reinforcement Learning, Text Mining, Unsupervised Learning

• Model-Based Reasoning: Model-based Reasoning & Diagnosis, Qualitative Reasoning, Analogical Reasoning, Causal Reasoning, Case-based Reasoning, Model-based Systems, Knowledge Engineering, Real-time Systems, Diagnosis, Testing, Repair, Design, Configuration, Explanation, eLearning, Decision Support Systems

• Natural Language Processing: Lexicons and Ontologies, Computational Morphology and Parsing, Computational Semantics and Pragmatics, Paraphrasing and Textual Entailment, Opinion Mining and Sentiment Analysis, Intelligent IR, Semantic Search and Question Answering, Text Mining and Information Extraction, Linguistic Knowledge Acquisition and Discovery, Corpus-Based Language Models, Machine Learning for NLP, Evaluation Methods for NLP

• Perception, Sensing & Cognitive Robotics: Active Vision and Sensory Planning, Image Processing, Model-Based Vision, Motion, Flow and Tracking, Object Recognition, Statistical Models and Visual Learning, Autonomous Systems, Cognitive Robotics, Estimation and Learning for Robotic, Human-Robot Interaction, Localization& Navigation, Motion Planning, Multi-Robot Systems, Robot Architectures, Programming Environments and Languages, Task Planning and Execution

• Planning and Scheduling: Applications of Planning and Scheduling, Classical Planning, Constraint-based Planning and Scheduling, Heuristics for Planning, Hierarchical Planning and Scheduling, Interactive Planning and Scheduling, Knowledge Engineering for Planning and Scheduling, MDPs, Planning and Learning, Planning with Incomplete Information, Planning with Uncertainty, POMDPs, Temporal Planning and Scheduling

• Robotics: Autonomous Systems, Estimation and Learning for Robotic Systems, Exploration, Human-Robot Interaction, Localization, Motion Planning, Multi-Robot Systems, Robot Architectures, Robot Navigation, Robot Programming Environments and Languages, Search and Rescue Robots, Sensory Planning, Service Robots, Task Planning, Viewpoints and Modality Selection

• Uncertainty in AI: Belief revision and update, Bayesian networks, Conceptual graphs, Probabilistic reasoning, Preferences, Ranking