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KI 2003: Advances in Artificial Intelligence KI2003 人工智能进展

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KI 2003: Advances in Artificial Intelligence KI2003 人工智能进展

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作 者:AndreasGünter 著

出 版 社:北京燕山出版社

出版时间:2003-11-1

I S B N:3540200592

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内容简介

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.

作者简介

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

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