KI 2003: Advances in Artificial Intelligence KI2003 人工智能进展
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内容提要：
This book constitutes the refereed proceedings of the 26th Annual German Conference on Artificial Intelligence, KI 2003, held in Hamburg, Germany in September 2003.
The 42 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 90 submissions from 22 countries. The papers are organized in topical sections on logics and ontologies, cognitive modeling, reasoning methods, machine learning, neural networks, reasoning under uncertainty, planning and constraints, spatial modeling, user modeling, and agent technology. 目录：
Invited Paper
Towards Symmetric Multimodality: Fusion and Fission of Speech, Gesture, and Facial Expression Leveraging Metadata Creation for the Semantic Web with CREAM Negotiation Technologies Pushing the Limit in Visual Data Exploration: Techniques and Applications Words at the Right Time: Real-Time Dialogues with the WITAS Unmanned Aerial Vehicle Logics and Ontologies The Instance Problem and the Most Specific Concept in the Description Logic w.r.t. Terminological Cycles with Descriptive Semantics Satisfiability and Completeness of Converse-PDL Replayed Optimality Theory through Default Logic Towards a Systematic Account of Different Logic Programming Semantics How to Build a Foundational Ontology : The Universal Medical Language System and the Gene Ontology: Some Critical Reflections Cognitive Modeling Behavioral Knowledge Representation for the Understanding and Creation of Video Sequences Designing Agents with MicroPsi Node Nets Conscious Behavior through Reflexive Dialogs Reasoning Methods What Observations Really Tell Us A Formal Assessment Result for Fluent Calculus Using the Action Description Language Ak Computing Minimum-Cardinality Diagnoses Using OBDDs Presenting Sets of Problem Solutions Concisely Machine Learning Automatic Document Categorization (Interpreting the Perfomance of Clustering Algorithms) A Logical Approach to Data-Driven Classification Spatial Inference - Combining Learning and Constraint Solving Hybrid Approaches for Case Retrieval and Adaptation Neural Networks Applied Connectionistic Methods in Computer Vision to Compare Segmented Images …… Reasoning under Uncertainty Planning and Constraints Spatial Modeling User Modeling Agent Technology Author Index |