Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9992)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): AI: Australasian Joint Conference on Artificial Intelligence
Conference proceedings info: AI 2016.
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Table of contents (67 papers)
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Front Matter
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Agents and Multiagent Systems
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Front Matter
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AI Applications and Innovations
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Front Matter
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Big Data
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016.
The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP.
The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.
Keywords
- computer vision
- data mining
- knowledge representation and reasoning
- machine learning
- natural language processing
- semantic Web description languages
- big data
- constraints
- data structures
- evolutionary algorithms
- fuzzy logic
- intelligent agents
- modeling and simulation
- multiagent systems
- neural networks
- planning and scheduling
- recommender systems
- search methodologies
- social media
- algorithm analysis and problem complexity
Editors and Affiliations
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University of Tasmania, Hobart, Australia
Byeong Ho Kang
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Auckland University of Technology, Auckland, New Zealand
Quan Bai
Bibliographic Information
Book Title: AI 2016: Advances in Artificial Intelligence
Book Subtitle: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings
Editors: Byeong Ho Kang, Quan Bai
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-50127-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-50126-0Published: 01 December 2016
eBook ISBN: 978-3-319-50127-7Published: 25 November 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 729
Number of Illustrations: 313 b/w illustrations, 120 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Pattern Recognition