Advances in Artificial Intelligence -- IBERAMIA 2004 人工智能进展——IBERAMIA2004年/会议录

The LNAI series reports state-of-the-art results in artificial intelligence re-search， development， and education， at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community， with numerous individuals， as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.
—proceedings （published in time for the respective conference）
—post-proceedings （consisting of thoroughly revised final full papers）
—research monographs（which may be based on PhD work）.

IBERAMIA 2004
Distributed AI and Multi-agent Systems
　Checking Social Properties of Multi-agent Systems with Activity Theory
　MARCS Multi-agent Railway Control System
　Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing
　A Component and Aspect-Based Architecture for Rapid Software Agent Development
　Formalization of Cooperation in MAS: Towards a Generic Conceptual Model
　Web-Enabling MultiAgent Systems
　Gaining Competitive Advantage Through Learning Agent Models
　Knowledge Engineering and Case Based Reasoning
　Towards an Efficient Rule-Based Coordination of Web Services
　Applying Rough Sets Reduction Techniques to the Construction of a
　Fuzzy Rule Base for Case Based Reasoning
　Dynamic Case Base Maintenance for a Case-Based Reasoning System
　A Case Base Seeding for Case-Based Planning Systems
Planning and Scheduling
　Handling Numeric Criteria in Relaxed Planning Graphs
　Constrainedness and Redundancy by Constraint Ordering
　To Block or Not to Block?
　Adaptive Penalty Weights When Solving Congress Timetabling
　Decomposition Approaches for a Capacitated Hub Problem
　An Efficient Method to Schedule New Trains on a Heavily Loaded Railway Network
　Studs, Seeds and Immigrants in Evolutionary Algorithms for Unrestricted Parallel Machine Scheduling
　An Investigation on Genetic Algorithms for Generic STRIPS Planning
Machine Learning and Knowledge Acquisition
　Improving Numerical Reasoning Capabilities of Inductive Logic　Programming Systems
　Enhanced ICA Mixture Model for Unsupervised Classification.
　Analysis of Galactic Spectra Using Active Instance-Based Learning and　Domain Knowledge
　Adapting Evolutionary Parameters by Dynamic Filtering for Operators　Inheritance Strategy
　Collaborative Filtering Based on Modal Symbolic User Profiles:　Knowing You in the First Meeting
　……
Natural Language Processing
Knowledge Representation and Reasoning
Konwledge Discovery and Data Mining
Robotics
Computer Vision
Uncertainy and Fuzzy Systems
Genetic Algorithms and Neural Networks
AI In Education
Miscellaneous Topics
Author Index