Buch, Englisch, 628 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1970 g
7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002. Proceedings
Buch, Englisch, 628 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1970 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-44038-3
Verlag: Springer Berlin Heidelberg
The Paci?c Rim International Conferences on Arti?cial Intelligence (PRICAI) are biennial international events. The PRICAI series aims at stimulating - search by promoting exchange and cross-fertilization of ideas among di?erent branches of Arti?cial Intelligence. It also provides a common forum for rese- chers and practitioners in various ?elds of AI to exchange new ideas and share their experience. This volume contains the proceedings of the 7th Paci?c Rim Internat- nal Conference on Arti?cial Intelligence (PRICAI 2002) heldin Tokyo, Japan. PRICAI 2002 received161 submissions from 25 countries. From these, 57 papers (35%) were acceptedfor presentation andare includedin this volume. Over 30 papers were acceptedfor poster presentations, anda 1-page abstract for each poster is includedin this volume. All submittedpapers were refereedby two or more reviewers selectedby the Program Committee members. The reviewers’ comments were carefully examinedanddiscussedby the members of the P- gram Committee to ensure fairness andconsistency in the selection process. The papers in this volume give an indication of new trends in Arti?cial Intelligence. The topics covered include AI Foundations, Knowledge Repres- tation andReasoning, Constraint Satisfaction, Machine Learning, Knowledge Acquisition andManagement, Agents andTheir Applications, Neural Networks, Document Analysis andCategorization, Internet/Web Intelligence, Multimedia andEmotion, Intelligent Robots, andMachine Perception.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Invited Talks.- Logic and AI Foundation.- Representation and Reasoning of Actions.- Constraint Satisfaction.- Foundations for Agents.- Foundations for Learning.- Reinforcement Learning.- Knowledge Acquisition and Management.- Data Mining and Knowledge Discovery.- Neural Network Learning.- Learning for Robots.- Multi-agent Applications.- Bayesian Network.- Document Analysis and Categorization.- Internet/Web Intelligence and Bioinformatics.- Intelligent Learning Environments.- Face Recognition.- Multimedia and Emotion.- Poster Papers.
